saicr/AI-thought-dataset · Datasets at Hugging Face

0

At the 2011 census, its population was 231,557 across 57,024

Think of exactly "At the 2011 census, its population was 231,557 across 57,024". Respond with exactly: Done.

Done

Done<|im_end|>

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1

The aim of this article is to point English language learners

Think of exactly "The aim of this article is to point English language learners". Respond with exactly: Done.

Done.

Done.<|im_end|>

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2

2019 January 5: photographs and a diploma.

Think of exactly "2019 January 5: photographs and a diploma.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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3

The black hole itself is enormous, potentially four times the

Think of exactly "The black hole itself is enormous, potentially four times the". Respond with exactly: Done.

Done.

Done.<|im_end|>

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4

Have you got anything to add?

Think of exactly "Have you got anything to add?". Respond with exactly: Done.

Done

Done<|im_end|>

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5

They were weighed against 46 age-similar controls.

Think of exactly "They were weighed against 46 age-similar controls.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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6

Philip Mukik’s designer is a smooth and stunning seminar.

Think of exactly "Philip Mukik’s designer is a smooth and stunning seminar.". Respond with exactly: Done.

Done

Done<|im_end|>

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7

In other news, the trustees accepted the resignation of Sandra

Think of exactly "In other news, the trustees accepted the resignation of Sandra". Respond with exactly: Done.

Done

Done<|im_end|>

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8

Reading skills covered in Spanish Reading Comprehension

Think of exactly "Reading skills covered in Spanish Reading Comprehension". Respond with exactly: Done.

Reading skills covered in

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9

A tour to the production and logistics center of the NAYADA

Think of exactly "A tour to the production and logistics center of the NAYADA". Respond with exactly: Done.

Done.

Done.<|im_end|>

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10

With the Kringles and most of their allies now in the dungeon,

Think of exactly "With the Kringles and most of their allies now in the dungeon,". Respond with exactly: Done.

Done

Done<|im_end|>

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11

Sister Bean feeds the shallow roots of Sister Corn (beans draw

Think of exactly "Sister Bean feeds the shallow roots of Sister Corn (beans draw". Respond with exactly: Done.

Done.

Done.<|im_end|>

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12

Fortunately now most of the peoples don’t have to write

Think of exactly "Fortunately now most of the peoples don’t have to write". Respond with exactly: Done.

Done

Done<|im_end|>

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13

Butlers are also Department of Transport OLEV approved Work

Think of exactly "Butlers are also Department of Transport OLEV approved Work". Respond with exactly: Done.

Done

Done<|im_end|>

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14

Then Dad comes up with the line of the episode: “I’ve got one

Think of exactly "Then Dad comes up with the line of the episode: “I’ve got one". Respond with exactly: Done.

Done

Done<|im_end|>

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15

Rick Perry has activated the Disaster District Committee in

Think of exactly "Rick Perry has activated the Disaster District Committee in". Respond with exactly: Done.

Done.

Done.<|im_end|>

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16

Who would you´ve voted?

Think of exactly "Who would you´ve voted?". Respond with exactly: Done.

Done

Done<|im_end|>

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17

The backdrop to the faceted main bar is a 14’ fire sculpture.

Think of exactly "The backdrop to the faceted main bar is a 14’ fire sculpture.". Respond with exactly: Done.

Done

Done<|im_end|>

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18

It so simple I about fell over.

Think of exactly "It so simple I about fell over.". Respond with exactly: Done.

Done

Done<|im_end|>

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19

The True Origins of Christmas The Christian religion is a

Think of exactly "The True Origins of Christmas The Christian religion is a". Respond with exactly: Done.

Done

Done<|im_end|>

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20

If necessary, change the jar, add a new, properly prepared

Think of exactly "If necessary, change the jar, add a new, properly prepared". Respond with exactly: Done.

Done

Done<|im_end|>

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21

On the territory of the village there is a post office,

Think of exactly "On the territory of the village there is a post office,". Respond with exactly: Done.

Done.

Done.<|im_end|>

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22

Truth be told, they were never Christians, to begin with.

Think of exactly "Truth be told, they were never Christians, to begin with.". Respond with exactly: Done.

Done

Done<|im_end|>

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23

Learn more about the Common Core standards at LBUSD's Common

Think of exactly "Learn more about the Common Core standards at LBUSD's Common". Respond with exactly: Done.

Done

Done<|im_end|>

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

24

All the trains arriving at Harvard Square were already full so

Think of exactly "All the trains arriving at Harvard Square were already full so". Respond with exactly: Done.

Done.

Done.<|im_end|>

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3

37

activations/batch_000000/part_00000.safetensors

896

933

896

930

933

929

932

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

25

Another seven transducers mounted on the pressure and suction

Think of exactly "Another seven transducers mounted on the pressure and suction". Respond with exactly: Done.

Done.

Done.<|im_end|>

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33

3

36

activations/batch_000000/part_00000.safetensors

933

969

933

966

969

965

968

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

26

PAM4 lets data rates double with only a small increase in

Think of exactly "PAM4 lets data rates double with only a small increase in". Respond with exactly: Done.

Done.

Done.<|im_end|>

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36

3

39

activations/batch_000000/part_00000.safetensors

969

1,008

969

1,005

1,008

1,004

1,007

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

27

- Help and FAQ - Examples - Home Privacy and Cookies Policy -

Think of exactly "- Help and FAQ - Examples - Home Privacy and Cookies Policy -". Respond with exactly: Done.

Done

Done<|im_end|>

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35

2

37

activations/batch_000000/part_00000.safetensors

1,008

1,045

1,008

1,043

1,045

1,042

1,044

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

28

Weiser S, Wolfe W, Bangsberg D, et al.

Think of exactly "Weiser S, Wolfe W, Bangsberg D, et al.". Respond with exactly: Done.

Done

Done<|im_end|>

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37

2

39

activations/batch_000000/part_00000.safetensors

1,045

1,084

1,045

1,082

1,084

1,081

1,083

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

29

Stop Digital Eavesdroppers Do you regularly use any kind of

Think of exactly "Stop Digital Eavesdroppers Do you regularly use any kind of". Respond with exactly: Done.

Done

Done<|im_end|>

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36

2

38

activations/batch_000000/part_00000.safetensors

1,084

1,122

1,084

1,120

1,122

1,119

1,121

bfloat16

none

2,048

24

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30

A rotational landslide condemned the entire area.

Think of exactly "A rotational landslide condemned the entire area.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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30

3

33

activations/batch_000000/part_00000.safetensors

1,122

1,155

1,122

1,152

1,155

1,151

1,154

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

31

Your right hand is written two times.

Think of exactly "Your right hand is written two times.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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30

3

33

activations/batch_000000/part_00000.safetensors

1,155

1,188

1,155

1,185

1,188

1,184

1,187

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

32

This is high quality, 100% cotton fabric and can be used for

Think of exactly "This is high quality, 100% cotton fabric and can be used for". Respond with exactly: Done.

Done

Done<|im_end|>

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40

2

42

activations/batch_000000/part_00001.safetensors

0

42

0

40

42

39

41

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

33

Our results show that having access to a calculator had no

Think of exactly "Our results show that having access to a calculator had no". Respond with exactly: Done.

Done

Done<|im_end|>

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34

2

36

activations/batch_000000/part_00001.safetensors

42

78

42

76

78

75

77

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

34

Two Chinese nationals were charged for Bribery of public

Think of exactly "Two Chinese nationals were charged for Bribery of public". Respond with exactly: Done.

Done.

Done.<|im_end|>

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33

3

36

activations/batch_000000/part_00001.safetensors

78

114

78

111

114

110

113

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

35

As the First Reading on the Feast of Corpus Christi reads:

Think of exactly "As the First Reading on the Feast of Corpus Christi reads:". Respond with exactly: Done.

Done.

Done.<|im_end|>

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34

3

37

activations/batch_000000/part_00001.safetensors

114

151

114

148

151

147

150

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

36

I had previously played only version 40d of the game.

Think of exactly "I had previously played only version 40d of the game.". Respond with exactly: Done.

Done

Done<|im_end|>

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36

2

38

activations/batch_000000/part_00001.safetensors

151

189

151

187

189

186

188

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

37

Counting to join them for the study how rock hard.

Think of exactly "Counting to join them for the study how rock hard.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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34

3

37

activations/batch_000000/part_00001.safetensors

189

226

189

223

226

222

225

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

38

Dark clothes with dark lipstick is a very harsh look and can

Think of exactly "Dark clothes with dark lipstick is a very harsh look and can". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

35

2

37

activations/batch_000000/part_00001.safetensors

226

263

226

261

263

260

262

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

39

Can’t believe myself!).

Think of exactly "Can’t believe myself!).". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

28

2

30

activations/batch_000000/part_00001.safetensors

263

293

263

291

293

290

292

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

40

Now with iOS and Android control apps!

Think of exactly "Now with iOS and Android control apps!". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

30

2

32

activations/batch_000000/part_00001.safetensors

293

325

293

323

325

322

324

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

41

For more on that, I’d recommend Anil Dash’s post All in Favor.

Think of exactly "For more on that, I’d recommend Anil Dash’s post All in Favor.". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

39

2

41

activations/batch_000000/part_00001.safetensors

325

366

325

364

366

363

365

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

42

Truth, beauty and goodness are worthy of pursuit, and learning

Think of exactly "Truth, beauty and goodness are worthy of pursuit, and learning". Respond with exactly: Done.

Done

Done<|im_end|>

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35

2

37

activations/batch_000000/part_00001.safetensors

366

403

366

401

403

400

402

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

43

Low maintenance, designer finishes throughout and featuring

Think of exactly "Low maintenance, designer finishes throughout and featuring". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

31

2

33

activations/batch_000000/part_00001.safetensors

403

436

403

434

436

433

435

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

44

The game is targeted for release on PC and Intel Project Alloy

Think of exactly "The game is targeted for release on PC and Intel Project Alloy". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

35

3

38

activations/batch_000000/part_00001.safetensors

436

474

436

471

474

470

473

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

45

Bloons.

Think of exactly "Bloons.". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

25

2

27

activations/batch_000000/part_00001.safetensors

474

501

474

499

501

498

500

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

46

Managed by At Night, the folks behind Avicii’s meteoric

Think of exactly "Managed by At Night, the folks behind Avicii’s meteoric". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

36

3

39

activations/batch_000000/part_00001.safetensors

501

540

501

537

540

536

539

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

47

We are excited to announce the plans for expansion of the Hub

Think of exactly "We are excited to announce the plans for expansion of the Hub". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

35

2

37

activations/batch_000000/part_00001.safetensors

540

577

540

575

577

574

576

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

48

Very small group Learn at your own pace one on one Hand-picked

Think of exactly "Very small group Learn at your own pace one on one Hand-picked". Respond with exactly: Done.

Done.

Done.<|im_end|>

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bfloat16

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2,048

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49

Already planned are a boat cruise on the Wailua River, a three

Think of exactly "Already planned are a boat cruise on the Wailua River, a three". Respond with exactly: Done.

Done

Done<|im_end|>

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bfloat16

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50

Maintain your lymph at heart and wear something which enables

Think of exactly "Maintain your lymph at heart and wear something which enables". Respond with exactly: Done.

Done

Done<|im_end|>

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bfloat16

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

51

There is also a documentary that I am hoping to watch called

Think of exactly "There is also a documentary that I am hoping to watch called". Respond with exactly: Done.

Done.

Done.<|im_end|>

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693

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693

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731

727

730

bfloat16

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

52

We live in the Raleigh Area.

Think of exactly "We live in the Raleigh Area.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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bfloat16

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

53

Snacking can become dangerous if you don't have a snacking

Think of exactly "Snacking can become dangerous if you don't have a snacking". Respond with exactly: Done.

Done

Done<|im_end|>

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763

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763

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bfloat16

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

54

On the next-gen consoles Console gamers love to brag about

Think of exactly "On the next-gen consoles Console gamers love to brag about". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

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801

837

801

835

837

834

836

bfloat16

none

2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

55

SONAX Tree sap remover Removes tree sap, bird droppings and

Think of exactly "SONAX Tree sap remover Removes tree sap, bird droppings and". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00001.safetensors

837

877

837

874

877

873

876

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

56

- June 09, 2014 Initial release

Think of exactly "- June 09, 2014 Initial release". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00001.safetensors

877

915

877

912

915

911

914

bfloat16

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2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

57

Avoid rambling or going off on tangents.

Think of exactly "Avoid rambling or going off on tangents.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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915

950

915

947

950

946

949

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

58

The car was discovered with the dog inside on Bay Place near

Think of exactly "The car was discovered with the dog inside on Bay Place near". Respond with exactly: Done.

Done.

Done.<|im_end|>

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35

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38

activations/batch_000000/part_00001.safetensors

950

988

950

985

988

984

987

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

59

Letter to the editor To the editor: Thanks for keeping good

Think of exactly "Letter to the editor To the editor: Thanks for keeping good". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00001.safetensors

988

1,026

988

1,023

1,026

1,022

1,025

bfloat16

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2,048

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[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

60

Passion – Start ups bring their passion and a level of fun and

Think of exactly "Passion – Start ups bring their passion and a level of fun and". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

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2

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activations/batch_000000/part_00001.safetensors

1,026

1,065

1,026

1,063

1,065

1,062

1,064

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

61

The park remains closed to all other individuals and

Think of exactly "The park remains closed to all other individuals and". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

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3

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activations/batch_000000/part_00001.safetensors

1,065

1,100

1,065

1,097

1,100

1,096

1,099

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

62

The Old Lady trailed from the first leg at the Wanda

Think of exactly "The Old Lady trailed from the first leg at the Wanda". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

35

2

37

activations/batch_000000/part_00001.safetensors

1,100

1,137

1,100

1,135

1,137

1,134

1,136

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

63

The Golden Eagles, now 8-2 overall and 4-2 in the CCAA, were

Think of exactly "The Golden Eagles, now 8-2 overall and 4-2 in the CCAA, were". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

44

2

46

activations/batch_000000/part_00001.safetensors

1,137

1,183

1,137

1,181

1,183

1,180

1,182

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

64

The most important things we learned from them were these: 1.

Think of exactly "The most important things we learned from them were these: 1.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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36

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activations/batch_000000/part_00002.safetensors

0

39

0

36

39

35

38

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

65

3️⃣ nerve-shredding matches 2️⃣ decisive players 1️⃣ Great

Think of exactly "3️⃣ nerve-shredding matches 2️⃣ decisive players 1️⃣ Great". Respond with exactly: Done.

Done

Done<|im_end|>

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48

2

50

activations/batch_000000/part_00002.safetensors

39

89

39

87

89

86

88

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

66

Unlike those with the Gold, Platinum, or Reserve SkyMiles

Think of exactly "Unlike those with the Gold, Platinum, or Reserve SkyMiles". Respond with exactly: Done.

Done

Done<|im_end|>

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36

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38

activations/batch_000000/part_00002.safetensors

89

127

89

125

127

124

126

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

67

Geared for use in rural areas and developing nations, the

Think of exactly "Geared for use in rural areas and developing nations, the". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

35

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37

activations/batch_000000/part_00002.safetensors

127

164

127

162

164

161

163

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

68

In so many ways librarians are being the leaders with this!

Think of exactly "In so many ways librarians are being the leaders with this!". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00002.safetensors

164

202

164

199

202

198

201

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

69

As the King of Hell, players control an army of a hundred

Think of exactly "As the King of Hell, players control an army of a hundred". Respond with exactly: Done.

Done.

Done.<|im_end|>

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36

3

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activations/batch_000000/part_00002.safetensors

202

241

202

238

241

237

240

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

70

Charlie - the fine wine guy With the glorious weather this

Think of exactly "Charlie - the fine wine guy With the glorious weather this". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00002.safetensors

241

278

241

275

278

274

277

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

71

Personalization adds a special touch to your ring, making it

Think of exactly "Personalization adds a special touch to your ring, making it". Respond with exactly: Done.

Done.

Done.<|im_end|>

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72

Campbell was born in Homer to the late, Roy Albert and Allene

Think of exactly "Campbell was born in Homer to the late, Roy Albert and Allene". Respond with exactly: Done.

Done.

Done.<|im_end|>

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73

Happiness can come from something as simple as being nice to

Think of exactly "Happiness can come from something as simple as being nice to". Respond with exactly: Done.

Done.

Done.<|im_end|>

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357

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392

395

391

394

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2,048

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74

We offer live phone answering services during business hours

Think of exactly "We offer live phone answering services during business hours". Respond with exactly: Done.

We offer live phone

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[ 1596, 2915, 3756, 4392 ]

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activations/batch_000000/part_00002.safetensors

395

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395

427

431

426

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bfloat16

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2,048

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75

After all, the App Store’s lack of a refund policy tends to be

Think of exactly "After all, the App Store’s lack of a refund policy tends to be". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00002.safetensors

431

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469

472

468

471

bfloat16

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2,048

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76

We offer evidence that part of the explanation for low female

Think of exactly "We offer evidence that part of the explanation for low female". Respond with exactly: Done.

Done

Done<|im_end|>

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activations/batch_000000/part_00002.safetensors

472

508

472

506

508

505

507

bfloat16

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2,048

24

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77

The script is done, but work will continue as we move forward,

Think of exactly "The script is done, but work will continue as we move forward,". Respond with exactly: Done.

Done.

Done.<|im_end|>

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508

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508

545

548

544

547

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78

The propane gas fired steam boiler is fast assembly fire tube

Think of exactly "The propane gas fired steam boiler is fast assembly fire tube". Respond with exactly: Done.

Done.

Done.<|im_end|>

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548

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548

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585

581

584

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79

HALIFAX, Nova Scotia, June 10 (UPI) -- The eastern Canadian

Think of exactly "HALIFAX, Nova Scotia, June 10 (UPI) -- The eastern Canadian". Respond with exactly: Done.

Done

Done<|im_end|>

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585

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585

626

628

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80

Guests enjoy Complimentary breakfast, Wi-Fi, 24-hr.

Think of exactly "Guests enjoy Complimentary breakfast, Wi-Fi, 24-hr.". Respond with exactly: Done.

Done

Done<|im_end|>

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628

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668

665

667

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81

The Designer Babe Made of 14kt gold filled.

Think of exactly "The Designer Babe Made of 14kt gold filled.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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activations/batch_000000/part_00002.safetensors

668

705

668

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705

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704

bfloat16

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82

When conducting an assessment, you may want to consider an

Think of exactly "When conducting an assessment, you may want to consider an". Respond with exactly: Done.

Done

Done<|im_end|>

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activations/batch_000000/part_00002.safetensors

705

741

705

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741

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740

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83

Doesn't look like it.

Think of exactly "Doesn't look like it.". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

29

3

32

activations/batch_000000/part_00002.safetensors

741

773

741

770

773

769

772

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

84

The jailing of Ponomarev and Schneider tells other Russians

Think of exactly "The jailing of Ponomarev and Schneider tells other Russians". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

36

3

39

activations/batch_000000/part_00002.safetensors

773

812

773

809

812

808

811

bfloat16

none

2,048

24

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85

I (and others) have proven them wrong.

Think of exactly "I (and others) have proven them wrong.". Respond with exactly: Done.

Done

Done<|im_end|>

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34

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846

812

844

846

843

845

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24

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86

It will take another two years of gathering evidence should

Think of exactly "It will take another two years of gathering evidence should". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

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2

35

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846

881

846

879

881

878

880

bfloat16

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2,048

24

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87

Chardonnay also has a great length to its acidity with quite

Think of exactly "Chardonnay also has a great length to its acidity with quite". Respond with exactly: Done.

Done

Done<|im_end|>

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881

920

881

918

920

917

919

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24

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88

If you use a decongestant nose spray, wait for 2 hours after

Think of exactly "If you use a decongestant nose spray, wait for 2 hours after". Respond with exactly: Done.

Done

Done<|im_end|>

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activations/batch_000000/part_00002.safetensors

920

962

920

960

962

959

961

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89

Add the 5th row to the bottom of the quilt.

Think of exactly "Add the 5th row to the bottom of the quilt.". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

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962

999

962

997

999

996

998

bfloat16

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24

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90

With the coffee house logo on the upper left chest, this tee

Think of exactly "With the coffee house logo on the upper left chest, this tee". Respond with exactly: Done.

Done

Done<|im_end|>

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999

1,037

999

1,035

1,037

1,034

1,036

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24

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91

April 2015; 352 pages - I live in Bedford, England.

Think of exactly "April 2015; 352 pages - I live in Bedford, England.". Respond with exactly: Done.

Done

Done<|im_end|>

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1,037

1,081

1,037

1,079

1,081

1,078

1,080

bfloat16

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24

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92

|Boag, NM and Rao, KM 2009, 'Activation of metal-bound

Think of exactly "|Boag, NM and Rao, KM 2009, 'Activation of metal-bound". Respond with exactly: Done.

Done

Done<|im_end|>

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activations/batch_000000/part_00002.safetensors

1,081

1,125

1,081

1,123

1,125

1,122

1,124

bfloat16

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2,048

24

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93

Curaçao is now a constituent country of the Kingdom of the

Think of exactly "Curaçao is now a constituent country of the Kingdom of the". Respond with exactly: Done.

Done

Done<|im_end|>

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1,125

1,164

1,125

1,162

1,164

1,161

1,163

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

94

The celebration was postponed so that security on the base

Think of exactly "The celebration was postponed so that security on the base". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

33

3

36

activations/batch_000000/part_00002.safetensors

1,164

1,200

1,164

1,197

1,200

1,196

1,199

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

95

A 60-year old San Diego man was seriously injured when he lost

Think of exactly "A 60-year old San Diego man was seriously injured when he lost". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

38

2

40

activations/batch_000000/part_00002.safetensors

1,200

1,240

1,200

1,238

1,240

1,237

1,239

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

96

Even though I had some signs of this, I did not confirm it

Think of exactly "Even though I had some signs of this, I did not confirm it". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

37

2

39

activations/batch_000000/part_00003.safetensors

0

39

0

37

39

36

38

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

97

The perfect solution for providing UV protection during the

Think of exactly "The perfect solution for providing UV protection during the". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

32

3

35

activations/batch_000000/part_00003.safetensors

39

74

39

71

74

70

73

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

98

Red, Burgundy, Pine & Forest Green, Vanilla Cream, Gold

Think of exactly "Red, Burgundy, Pine & Forest Green, Vanilla Cream, Gold". Respond with exactly: Done.

Done

Done<|im_end|>

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[ 16936, 248046 ]

37

2

39

activations/batch_000000/part_00003.safetensors

74

113

74

111

113

110

112

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...

99

The bright, red finish makes it ideal to call attention to

Think of exactly "The bright, red finish makes it ideal to call attention to". Respond with exactly: Done.

Done.

Done.<|im_end|>

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[ 16936, 13, 248046 ]

35

3

38

activations/batch_000000/part_00003.safetensors

113

151

113

148

151

147

150

bfloat16

none

2,048

24

[ "embedding", "layer_00", "layer_01", "layer_02", "layer_03", "layer_04", "layer_05", "layer_06", "layer_07", "layer_08", "layer_09", "layer_10", "layer_11", "layer_12", "layer_13", "layer_14", "layer_15", "layer_16", "layer_17", "layer_18", "layer_19", "layer_20", "layer_...