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[ could] form strategic marketing all | iances | iances | 0.654297 | 1 | 1.503906 | [
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事件に巻き込まれているの | [
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[<|endoftext|>]ascending order. | 0.317627 | 1 | 5.519531 | [
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[s] rise to international st | ard | ard | 0.821289 | 1 | 0.909668 | [
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[ Scotland]’s Independence Re | fe | fe | 0.331055 | 1 | 3.466797 | [
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[
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[<|endoftext|>]'s Most Recent Stories | 0.84082 | 1 | 0.827148 | [
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NEW YORK — | [
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[h]inal and perir | h | h | 0.65332 | 1 | 1.716797 | [
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[.] Cody Wilson and Defense | man | Distributed | 0.455566 | 1 | 6.601563 | [
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[ moving] party that no tri | able | able | 0.596191 | 1 | 2.070313 | [
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[<|endoftext|>]Product Detail
| 0.869141 | 1 | 0.559082 | [
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<|endoftext|><|endoftext|>Product Detail
Style and trend will | [
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||
[<|endoftext|>]Go to page
| 0.72168 | 1 | 1.442383 | [
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Go to page
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[ pro] se post-ver | bal | dict | 0.321045 | 1 | 6.082031 | [
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[
]4
comments: | 0.876953 | 1 | 0.53418 | [
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15,
72,
2874,
4253,
2041
] | 0.662109 | 6.058594 | 6.941406 | 111 | 14 | 1,694 |
[ holiday] or post-hol | iday | iday | 0.753906 | 1 | 1.165039 | [
13319,
390,
1501,
14,
11171
] | 4,705 | 4,705 | else is looking for holiday or post-holiday specials I found | [
2010,
310,
2819,
323,
13319,
390,
1501,
14,
11171,
4705,
2714,
84,
309,
1119
] | 0.246094 | 6.75 | 7.335938 | 331 | 116 | 1,396 |
[ the] USS Kearsar | ge | ge | 0.632813 | 1 | 1.748047 | [
253,
47800,
611,
6364,
274
] | 463 | 463 | the flight deck of the USS Kearsarge.
Even | [
253,
8630,
12595,
273,
253,
47800,
611,
6364,
274,
463,
15,
187,
187,
9586
] | 0.367188 | 8.46875 | 6.855469 | 63 | 70 | 522 |
[ HREF]="package-tree | . | . | 0.558594 | 1 | 3.230469 | [
29321,
568,
10708,
14,
12588
] | 15 | 15 | "> <A HREF="package-tree.html"><FONT CLASS | [
1138,
50274,
29,
34,
29321,
568,
10708,
14,
12588,
15,
2974,
5264,
23758,
28085
] | 0.441406 | 9.492188 | 8.34375 | 15 | 114 | 1,694 |
End of preview. Expand
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scan_4
See https://confirmlabs.org/posts/catalog.html for details.
text: The long prompt text with the the first token surrounded by square brackets.token_short: The model's prediction for the most likely token given the short prompt.token_long: The model's prediction for the most likely token given the long prompt.p_short: The model's prediction for the probability oftoken_short.p_long: The model's prediction for the probability oftoken_long.JS: The Jensen-Shannon divergence between the model's distribution over tokens given the short prompt and the model's distribution over tokens given the long prompt.long_ids: The ids of the tokens in the long prompt.short_max_id: The id oftoken_short.long_max_id: The id oftoken_long.context: The surrounding text of the prompt.context_ids: The ids ofcontext.p_delta_max: The largest difference in probability for any token between the short and long prompt.logit_excite_max: The largest increase in logit for any token between the short and long prompt.logit_inhibit_max: The largest decrease in logit for any token between the short and long prompt.batch: The batch number of the prompt.sample: The sample number of the prompt.start: The start index of the prompt in the sample.
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