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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<model_name: string, random_seed: int64, f1_jump_threshold: double, max_k_value: int64, prompt_template: string, prompt_token_pos: int64, llm_batch_size: int64, llm_dtype: string, k_sparse_probe_l1_decay: double, k_sparse_probe_batch_size: int64, k_sparse_probe_num_epochs: int64>
to
{'random_seed': Value(dtype='int64', id=None), 'f1_jump_threshold': Value(dtype='float64', id=None), 'max_k_value': Value(dtype='int64', id=None), 'prompt_template': Value(dtype='string', id=None), 'prompt_token_pos': Value(dtype='int64', id=None), 'model_name': Value(dtype='string', id=None), 'llm_batch_size': Value(dtype='int64', id=None), 'llm_dtype': Value(dtype='string', id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<model_name: string, random_seed: int64, f1_jump_threshold: double, max_k_value: int64, prompt_template: string, prompt_token_pos: int64, llm_batch_size: int64, llm_dtype: string, k_sparse_probe_l1_decay: double, k_sparse_probe_batch_size: int64, k_sparse_probe_num_epochs: int64>
to
{'random_seed': Value(dtype='int64', id=None), 'f1_jump_threshold': Value(dtype='float64', id=None), 'max_k_value': Value(dtype='int64', id=None), 'prompt_template': Value(dtype='string', id=None), 'prompt_token_pos': Value(dtype='int64', id=None), 'model_name': Value(dtype='string', id=None), 'llm_batch_size': Value(dtype='int64', id=None), 'llm_dtype': Value(dtype='string', id=None)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
eval_type_id
string | eval_config
dict | eval_id
string | datetime_epoch_millis
int64 | eval_result_metrics
dict | eval_result_details
list | sae_bench_commit_hash
string | sae_lens_id
string | sae_lens_release_id
string | sae_lens_version
string | eval_result_unstructured
null |
|---|---|---|---|---|---|---|---|---|---|---|
absorption_first_letter | {
"random_seed": 42,
"f1_jump_threshold": 0.03,
"max_k_value": 10,
"prompt_template": "{word} has the first letter:",
"prompt_token_pos": -6,
"model_name": "gemma-2-2b",
"llm_batch_size": 32,
"llm_dtype": "bfloat16"
} | 26606ea0-d280-4f2a-bde6-d45d58a345c3 | 1,732,279,091,734 | {
"mean": {
"mean_absorption_score": 0.08257602964678128,
"mean_num_split_features": 1.16
}
} | [
{
"first_letter": "a",
"absorption_rate": 0.00745975657636435,
"num_absorption": 19,
"num_probe_true_positives": 2547,
"num_split_features": 1
},
{
"first_letter": "b",
"absorption_rate": 0.00949367088607595,
"num_absorption": 15,
"num_probe_true_positives": 1580,
"num_split_features": 1
},
{
"first_letter": "c",
"absorption_rate": 0.2422044960116026,
"num_absorption": 668,
"num_probe_true_positives": 2758,
"num_split_features": 1
},
{
"first_letter": "d",
"absorption_rate": 0.12545899632802937,
"num_absorption": 205,
"num_probe_true_positives": 1634,
"num_split_features": 2
},
{
"first_letter": "e",
"absorption_rate": 0.09561510353227771,
"num_absorption": 157,
"num_probe_true_positives": 1642,
"num_split_features": 1
},
{
"first_letter": "f",
"absorption_rate": 0.05088852988691438,
"num_absorption": 63,
"num_probe_true_positives": 1238,
"num_split_features": 1
},
{
"first_letter": "g",
"absorption_rate": 0.06642728904847396,
"num_absorption": 74,
"num_probe_true_positives": 1114,
"num_split_features": 1
},
{
"first_letter": "h",
"absorption_rate": 0.01693227091633466,
"num_absorption": 17,
"num_probe_true_positives": 1004,
"num_split_features": 1
},
{
"first_letter": "i",
"absorption_rate": 0.20319905213270142,
"num_absorption": 343,
"num_probe_true_positives": 1688,
"num_split_features": 2
},
{
"first_letter": "j",
"absorption_rate": 0.008733624454148471,
"num_absorption": 4,
"num_probe_true_positives": 458,
"num_split_features": 1
},
{
"first_letter": "l",
"absorption_rate": 0.08593091828138164,
"num_absorption": 102,
"num_probe_true_positives": 1187,
"num_split_features": 1
},
{
"first_letter": "m",
"absorption_rate": 0.01648664013644116,
"num_absorption": 29,
"num_probe_true_positives": 1759,
"num_split_features": 1
},
{
"first_letter": "n",
"absorption_rate": 0.0345679012345679,
"num_absorption": 28,
"num_probe_true_positives": 810,
"num_split_features": 1
},
{
"first_letter": "o",
"absorption_rate": 0.059044048734770385,
"num_absorption": 63,
"num_probe_true_positives": 1067,
"num_split_features": 1
},
{
"first_letter": "p",
"absorption_rate": 0.19588080631025417,
"num_absorption": 447,
"num_probe_true_positives": 2282,
"num_split_features": 2
},
{
"first_letter": "q",
"absorption_rate": 0.0375,
"num_absorption": 6,
"num_probe_true_positives": 160,
"num_split_features": 1
},
{
"first_letter": "r",
"absorption_rate": 0.12771084337349398,
"num_absorption": 212,
"num_probe_true_positives": 1660,
"num_split_features": 1
},
{
"first_letter": "s",
"absorption_rate": 0.2599930483142162,
"num_absorption": 748,
"num_probe_true_positives": 2877,
"num_split_features": 1
},
{
"first_letter": "t",
"absorption_rate": 0.04778353483016695,
"num_absorption": 83,
"num_probe_true_positives": 1737,
"num_split_features": 1
},
{
"first_letter": "u",
"absorption_rate": 0.20927152317880796,
"num_absorption": 158,
"num_probe_true_positives": 755,
"num_split_features": 2
},
{
"first_letter": "v",
"absorption_rate": 0.018469656992084433,
"num_absorption": 14,
"num_probe_true_positives": 758,
"num_split_features": 1
},
{
"first_letter": "w",
"absorption_rate": 0.0446685878962536,
"num_absorption": 31,
"num_probe_true_positives": 694,
"num_split_features": 1
},
{
"first_letter": "x",
"absorption_rate": 0.0449438202247191,
"num_absorption": 4,
"num_probe_true_positives": 89,
"num_split_features": 1
},
{
"first_letter": "y",
"absorption_rate": 0.04736842105263158,
"num_absorption": 9,
"num_probe_true_positives": 190,
"num_split_features": 1
},
{
"first_letter": "z",
"absorption_rate": 0.008368200836820083,
"num_absorption": 2,
"num_probe_true_positives": 239,
"num_split_features": 1
}
] | 5039e5e809a8aef3c74ede3cbc2d9ab01672edee | layer_12/width_16k/canonical | gemma-scope-2b-pt-res-canonical | 4.4.1 | null |
absorption_first_letter | {
"random_seed": 42,
"f1_jump_threshold": 0.03,
"max_k_value": 10,
"prompt_template": "{word} has the first letter:",
"prompt_token_pos": -6,
"model_name": "gemma-2-2b",
"llm_batch_size": 4,
"llm_dtype": "bfloat16"
} | dbffcdc3-63ef-4a90-8b61-9cc722a89ec5 | 1,732,412,991,176 | {
"mean": {
"mean_absorption_score": 0.3083090582220941,
"mean_num_split_features": 1.2692307692307692
}
} | [
{
"first_letter": "a",
"absorption_rate": 0.46520423600605143,
"num_absorption": 1230,
"num_probe_true_positives": 2644,
"num_split_features": 1
},
{
"first_letter": "b",
"absorption_rate": 0.4165079365079365,
"num_absorption": 656,
"num_probe_true_positives": 1575,
"num_split_features": 1
},
{
"first_letter": "c",
"absorption_rate": 0.5367005813953488,
"num_absorption": 1477,
"num_probe_true_positives": 2752,
"num_split_features": 3
},
{
"first_letter": "d",
"absorption_rate": 0.40540540540540543,
"num_absorption": 675,
"num_probe_true_positives": 1665,
"num_split_features": 2
},
{
"first_letter": "e",
"absorption_rate": 0.5560425798371947,
"num_absorption": 888,
"num_probe_true_positives": 1597,
"num_split_features": 3
},
{
"first_letter": "f",
"absorption_rate": 0.40403225806451615,
"num_absorption": 501,
"num_probe_true_positives": 1240,
"num_split_features": 1
},
{
"first_letter": "g",
"absorption_rate": 0.2624555160142349,
"num_absorption": 295,
"num_probe_true_positives": 1124,
"num_split_features": 1
},
{
"first_letter": "h",
"absorption_rate": 0.1968586387434555,
"num_absorption": 188,
"num_probe_true_positives": 955,
"num_split_features": 1
},
{
"first_letter": "i",
"absorption_rate": 0.6245694603903559,
"num_absorption": 1088,
"num_probe_true_positives": 1742,
"num_split_features": 1
},
{
"first_letter": "j",
"absorption_rate": 0.04708520179372197,
"num_absorption": 21,
"num_probe_true_positives": 446,
"num_split_features": 1
},
{
"first_letter": "k",
"absorption_rate": 0.008746355685131196,
"num_absorption": 6,
"num_probe_true_positives": 686,
"num_split_features": 1
},
{
"first_letter": "l",
"absorption_rate": 0.32913518052057095,
"num_absorption": 392,
"num_probe_true_positives": 1191,
"num_split_features": 1
},
{
"first_letter": "m",
"absorption_rate": 0.42745969983324067,
"num_absorption": 769,
"num_probe_true_positives": 1799,
"num_split_features": 1
},
{
"first_letter": "n",
"absorption_rate": 0.18995098039215685,
"num_absorption": 155,
"num_probe_true_positives": 816,
"num_split_features": 1
},
{
"first_letter": "o",
"absorption_rate": 0.25653436592449175,
"num_absorption": 265,
"num_probe_true_positives": 1033,
"num_split_features": 1
},
{
"first_letter": "p",
"absorption_rate": 0.5124784853700516,
"num_absorption": 1191,
"num_probe_true_positives": 2324,
"num_split_features": 2
},
{
"first_letter": "q",
"absorption_rate": 0.08771929824561403,
"num_absorption": 15,
"num_probe_true_positives": 171,
"num_split_features": 1
},
{
"first_letter": "r",
"absorption_rate": 0.6618618618618619,
"num_absorption": 1102,
"num_probe_true_positives": 1665,
"num_split_features": 2
},
{
"first_letter": "s",
"absorption_rate": 0.584736653529201,
"num_absorption": 1632,
"num_probe_true_positives": 2791,
"num_split_features": 1
},
{
"first_letter": "t",
"absorption_rate": 0.21849234393404005,
"num_absorption": 371,
"num_probe_true_positives": 1698,
"num_split_features": 1
},
{
"first_letter": "u",
"absorption_rate": 0.3368560105680317,
"num_absorption": 255,
"num_probe_true_positives": 757,
"num_split_features": 1
},
{
"first_letter": "v",
"absorption_rate": 0.10154241645244216,
"num_absorption": 79,
"num_probe_true_positives": 778,
"num_split_features": 1
},
{
"first_letter": "w",
"absorption_rate": 0.31407407407407406,
"num_absorption": 212,
"num_probe_true_positives": 675,
"num_split_features": 1
},
{
"first_letter": "x",
"absorption_rate": 0.045454545454545456,
"num_absorption": 5,
"num_probe_true_positives": 110,
"num_split_features": 1
},
{
"first_letter": "y",
"absorption_rate": 0.02185792349726776,
"num_absorption": 4,
"num_probe_true_positives": 183,
"num_split_features": 1
},
{
"first_letter": "z",
"absorption_rate": 0.004273504273504274,
"num_absorption": 1,
"num_probe_true_positives": 234,
"num_split_features": 1
}
] | 9b0bd9dd407cbe576a2fd7f57681fe1532d4f5da | layer_12/width_65k/canonical | gemma-scope-2b-pt-res-canonical | 4.4.1 | null |
absorption_first_letter | {
"random_seed": 42,
"f1_jump_threshold": 0.03,
"max_k_value": 10,
"prompt_template": "{word} has the first letter:",
"prompt_token_pos": -6,
"model_name": "gemma-2-2b",
"llm_batch_size": 32,
"llm_dtype": "bfloat16"
} | 26606ea0-d280-4f2a-bde6-d45d58a345c3 | 1,732,283,558,120 | {
"mean": {
"mean_absorption_score": 0.09174057650174743,
"mean_num_split_features": 1.4615384615384615
}
} | [
{
"first_letter": "a",
"absorption_rate": 0.33001988071570576,
"num_absorption": 830,
"num_probe_true_positives": 2515,
"num_split_features": 2
},
{
"first_letter": "b",
"absorption_rate": 0.0025348542458808617,
"num_absorption": 4,
"num_probe_true_positives": 1578,
"num_split_features": 1
},
{
"first_letter": "c",
"absorption_rate": 0.33369291621718805,
"num_absorption": 928,
"num_probe_true_positives": 2781,
"num_split_features": 4
},
{
"first_letter": "d",
"absorption_rate": 0.08492307692307692,
"num_absorption": 138,
"num_probe_true_positives": 1625,
"num_split_features": 3
},
{
"first_letter": "e",
"absorption_rate": 0.03147077713551702,
"num_absorption": 49,
"num_probe_true_positives": 1557,
"num_split_features": 2
},
{
"first_letter": "f",
"absorption_rate": 0.0115990057995029,
"num_absorption": 14,
"num_probe_true_positives": 1207,
"num_split_features": 1
},
{
"first_letter": "g",
"absorption_rate": 0.011976047904191617,
"num_absorption": 14,
"num_probe_true_positives": 1169,
"num_split_features": 2
},
{
"first_letter": "h",
"absorption_rate": 0.01017293997965412,
"num_absorption": 10,
"num_probe_true_positives": 983,
"num_split_features": 1
},
{
"first_letter": "i",
"absorption_rate": 0.19466343238326259,
"num_absorption": 321,
"num_probe_true_positives": 1649,
"num_split_features": 2
},
{
"first_letter": "j",
"absorption_rate": 0,
"num_absorption": 0,
"num_probe_true_positives": 433,
"num_split_features": 1
},
{
"first_letter": "k",
"absorption_rate": 0.0028776978417266188,
"num_absorption": 2,
"num_probe_true_positives": 695,
"num_split_features": 1
},
{
"first_letter": "l",
"absorption_rate": 0.014273719563392108,
"num_absorption": 17,
"num_probe_true_positives": 1191,
"num_split_features": 1
},
{
"first_letter": "m",
"absorption_rate": 0.16989737742303307,
"num_absorption": 298,
"num_probe_true_positives": 1754,
"num_split_features": 1
},
{
"first_letter": "n",
"absorption_rate": 0.030156815440289506,
"num_absorption": 25,
"num_probe_true_positives": 829,
"num_split_features": 1
},
{
"first_letter": "o",
"absorption_rate": 0.012435233160621761,
"num_absorption": 12,
"num_probe_true_positives": 965,
"num_split_features": 1
},
{
"first_letter": "p",
"absorption_rate": 0.253839590443686,
"num_absorption": 595,
"num_probe_true_positives": 2344,
"num_split_features": 2
},
{
"first_letter": "q",
"absorption_rate": 0.005649717514124294,
"num_absorption": 1,
"num_probe_true_positives": 177,
"num_split_features": 1
},
{
"first_letter": "r",
"absorption_rate": 0.10430563978168587,
"num_absorption": 172,
"num_probe_true_positives": 1649,
"num_split_features": 2
},
{
"first_letter": "s",
"absorption_rate": 0.6525511975008678,
"num_absorption": 1880,
"num_probe_true_positives": 2881,
"num_split_features": 2
},
{
"first_letter": "t",
"absorption_rate": 0.046758104738154616,
"num_absorption": 75,
"num_probe_true_positives": 1604,
"num_split_features": 1
},
{
"first_letter": "u",
"absorption_rate": 0.023776223776223775,
"num_absorption": 17,
"num_probe_true_positives": 715,
"num_split_features": 1
},
{
"first_letter": "v",
"absorption_rate": 0.0037313432835820895,
"num_absorption": 3,
"num_probe_true_positives": 804,
"num_split_features": 1
},
{
"first_letter": "w",
"absorption_rate": 0.007739938080495356,
"num_absorption": 5,
"num_probe_true_positives": 646,
"num_split_features": 1
},
{
"first_letter": "x",
"absorption_rate": 0.028846153846153848,
"num_absorption": 3,
"num_probe_true_positives": 104,
"num_split_features": 1
},
{
"first_letter": "y",
"absorption_rate": 0.012578616352201259,
"num_absorption": 2,
"num_probe_true_positives": 159,
"num_split_features": 1
},
{
"first_letter": "z",
"absorption_rate": 0.004784688995215311,
"num_absorption": 1,
"num_probe_true_positives": 209,
"num_split_features": 1
}
] | 5039e5e809a8aef3c74ede3cbc2d9ab01672edee | layer_19/width_16k/canonical | gemma-scope-2b-pt-res-canonical | 4.4.1 | null |
absorption_first_letter | {
"random_seed": 42,
"f1_jump_threshold": 0.03,
"max_k_value": 10,
"prompt_template": "{word} has the first letter:",
"prompt_token_pos": -6,
"model_name": "gemma-2-2b",
"llm_batch_size": 4,
"llm_dtype": "bfloat16"
} | dbffcdc3-63ef-4a90-8b61-9cc722a89ec5 | 1,732,416,922,195 | {
"mean": {
"mean_absorption_score": 0.10202127978856695,
"mean_num_split_features": 1.5
}
} | [
{
"first_letter": "a",
"absorption_rate": 0.4427001569858713,
"num_absorption": 1128,
"num_probe_true_positives": 2548,
"num_split_features": 1
},
{
"first_letter": "b",
"absorption_rate": 0.0031887755102040817,
"num_absorption": 5,
"num_probe_true_positives": 1568,
"num_split_features": 1
},
{
"first_letter": "c",
"absorption_rate": 0.2952175476447321,
"num_absorption": 821,
"num_probe_true_positives": 2781,
"num_split_features": 4
},
{
"first_letter": "d",
"absorption_rate": 0.004881025015253203,
"num_absorption": 8,
"num_probe_true_positives": 1639,
"num_split_features": 1
},
{
"first_letter": "e",
"absorption_rate": 0.02599873176918199,
"num_absorption": 41,
"num_probe_true_positives": 1577,
"num_split_features": 1
},
{
"first_letter": "f",
"absorption_rate": 0.011773940345368918,
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] | 5039e5e809a8aef3c74ede3cbc2d9ab01672edee | blocks.5.hook_resid_post__trainer_5 | sae_bench_gemma-2-2b_topk_width-2pow12_date-1109 | 4.4.1 | null |
absorption_first_letter | {
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} | abea8494-2f96-4d59-93da-12be1a2686b5 | 1,732,325,248,436 | {
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} | [
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] | 5039e5e809a8aef3c74ede3cbc2d9ab01672edee | blocks.12.hook_resid_post__trainer_0 | sae_bench_gemma-2-2b_topk_width-2pow14_date-1109 | 4.4.1 | null |
absorption_first_letter | {
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} | abea8494-2f96-4d59-93da-12be1a2686b5 | 1,732,328,861,045 | {
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} | [
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] | 5039e5e809a8aef3c74ede3cbc2d9ab01672edee | blocks.12.hook_resid_post__trainer_0_step_0 | sae_bench_gemma-2-2b_topk_width-2pow14_date-1109 | 4.4.1 | null |
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