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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 0.820000 was truncated converting to int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Float value 0.820000 was truncated converting to int64
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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modelId
string
layer
string
index
string
maxActApprox
float64
frac_nonzero
float64
freq_hist_data_bar_heights
list
freq_hist_data_bar_values
list
logits_hist_data_bar_heights
list
logits_hist_data_bar_values
list
neg_str
list
neg_values
list
pos_str
list
pos_values
list
correlated_neurons_indices
list
correlated_neurons_l1
list
correlated_features_pearson
list
neuron_alignment_indices
list
neuron_alignment_l1
list
neuron_alignment_values
list
activations
list
explanations
list
gemma-2-9b
0-gemmascope-att-16k
0
2.822
0.00479
[ 753, 744, 750, 645, 662, 584, 540, 503, 469, 461, 431, 378, 343, 333, 305, 282, 248, 229, 219, 189, 145, 124, 115, 90, 82, 64, 54, 53, 48, 35, 34, 28, 16, 18, 12, 14, 9, 4, 9, 4, 5, 0, 1, 0, 0, 0, 1, 0, 0, 1 ]
[ 0.385, 0.435, 0.484, 0.533, 0.582, 0.632, 0.681, 0.73, 0.779, 0.829, 0.878, 0.927, 0.976, 1.025, 1.075, 1.124, 1.173, 1.222, 1.272, 1.321, 1.37, 1.419, 1.468, 1.518, 1.567, 1.616, 1.665, 1.715, 1.764, 1.813, 1.862, 1.912, 1.961, 2.01, 2.059, 2.10...
[ 1, 0, 0, 14, 17, 10, 17, 21, 29, 48, 42, 55, 64, 73, 73, 91, 152, 149, 212, 484, 666, 976, 1824, 3399, 7025, 13044, 18261, 23990, 29684, 33120, 33790, 30960, 24085, 14886, 7720, 4069, 2245, 1379, 1012, 719, 481, 355, 275, 191, 9...
[ -2.095, -2.035, -1.974, -1.914, -1.854, -1.793, -1.733, -1.673, -1.612, -1.552, -1.492, -1.431, -1.371, -1.311, -1.25, -1.19, -1.13, -1.07, -1.009, -0.949, -0.889, -0.828, -0.768, -0.708, -0.647, -0.587, -0.527, -0.466, -0.406, -0.346, -0.285, -0.225, ...
[ "▁queſta", "▁houſe", "▁myſelf", "<unused52>", "<unused8>", "[@BOS@]", "<unused14>", "<unused68>", "<unused74>", "<unused16>" ]
[ -2.125, -1.938, -1.93, -1.914, -1.898, -1.898, -1.898, -1.898, -1.898, -1.891 ]
[ "1", "2", "p", "'", "in", "on", "f", "\n", "c", "A" ]
[ 0.891, 0.855, 0.848, 0.84, 0.84, 0.832, 0.832, 0.832, 0.824, 0.824 ]
[ 3271, 3201, 3191 ]
[ 0.376, 0.382, 0.375 ]
[ 0.018, 0.017, 0.015 ]
[ 1304, 1357, 1318 ]
[ 0.008, 0.006, 0.005 ]
[ 0.26, 0.183, 0.159 ]
[ { "tokens": [ "▁postage", "▁for", "▁your", "▁front", "▁door", "▁steps", ".", "▁So", "▁you", "▁should", "▁be", "▁watchful", "▁whilst", "▁selecting", "▁ones", "▁Mario", "▁B", "ades", "cu", "▁Cou...
[ { "description": " attends to pairs of tokens with commas from arbitrary subsequent tokens", "typeName": "oai_attention-head", "explanationModelName": "gpt-4o-mini" } ]
gemma-2-9b
0-gemmascope-att-16k
1
12.736
0.06048
[40825,18930,11843,8102,6449,5129,4277,3630,3061,2935,2552,2402,2212,2040,2064,1695,1567,1290,1055,9(...TRUNCATED)
[0.525,0.772,1.018,1.265,1.512,1.758,2.005,2.252,2.499,2.745,2.992,3.239,3.485,3.732,3.979,4.225,4.4(...TRUNCATED)
[1,0,0,0,0,0,1,1,1,2,4,15,25,57,185,442,1070,2220,4460,7865,13199,19352,26078,31091,32790,31345,2621(...TRUNCATED)
[-0.378,-0.361,-0.344,-0.326,-0.309,-0.292,-0.274,-0.257,-0.24,-0.223,-0.205,-0.188,-0.171,-0.154,-0(...TRUNCATED)
[ "_", "WebpackPlugin", "-", "\\", "▁vast", "▁majority", "$", "▁single", "▁location", "▁sub" ]
[ -0.387, -0.273, -0.256, -0.239, -0.222, -0.215, -0.21, -0.204, -0.201, -0.197 ]
["oa̍t","Билгалдахарш","DockStyle","▁<>\",","BibitemShut","▁للمعارف","▁pro(...TRUNCATED)
[ 0.477, 0.398, 0.396, 0.395, 0.391, 0.389, 0.383, 0.377, 0.371, 0.371 ]
[ 1608, 1597, 3742 ]
[ 0.684, 0.275, 0.196 ]
[ 0.123, 0.058, 0.057 ]
[ 1608, 1597, 1864 ]
[ 0.05, 0.009, 0.009 ]
[ 0.553, 0.1, 0.099 ]
[{"tokens":["▁show","▁the","▁","1","0","▁to","▁load","▁and","▁will","▁stop","▁at",(...TRUNCATED)
[{"description":" attends to tokens connected by a dash from tokens associated with context, often p(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
10
3.046
0.00062
[290,274,180,147,96,61,41,32,32,27,23,21,8,13,9,8,3,5,3,2,1,2,0,1,0,2,0,0,2,0,2,0,1,0,0,0,0,0,0,1,1,(...TRUNCATED)
[0.422,0.475,0.528,0.581,0.634,0.687,0.74,0.793,0.846,0.899,0.952,1.005,1.058,1.111,1.164,1.217,1.27(...TRUNCATED)
[22,10,14,13,16,22,31,40,39,33,43,59,59,70,110,95,136,154,350,271,423,740,1708,3443,7228,12081,15622(...TRUNCATED)
[-3.717,-3.619,-3.521,-3.423,-3.325,-3.227,-3.129,-3.031,-2.933,-2.835,-2.737,-2.639,-2.541,-2.443,-(...TRUNCATED)
["<unused43>","<unused41>","<pad>","[@BOS@]","<unused28>","<unused42>","<unused23>","<unused14>","<u(...TRUNCATED)
[ -3.766, -3.766, -3.75, -3.75, -3.75, -3.75, -3.75, -3.75, -3.75, -3.75 ]
[ "▁and", "▁in", "▁(", "▁for", "▁to", "▁of", ".", "▁", "▁as", "," ]
[ 1.133, 1.109, 1.039, 0.988, 0.934, 0.922, 0.918, 0.895, 0.891, 0.883 ]
[ 1260, 1079, 1060 ]
[ 0.071, 0.067, 0.066 ]
[ 0.027, 0.025, 0.012 ]
[ 1143, 1261, 1162 ]
[ 0.005, 0.005, 0.005 ]
[ 0.141, 0.132, 0.131 ]
[{"tokens":[".","\n","#","\n\n","#","▁Checks","▁if","▁argument","(","s",")","▁are","▁valid(...TRUNCATED)
[{"description":" attends to the token \"elif\" from corresponding tokens that include \"else.\"","t(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
100
0.556
0.00002
[2,1,2,0,2,0,2,2,0,1,1,1,1,1,0,0,0,0,0,1,1,0,0,2,0,0,0,0,2,0,0,0,1,1,1,0,0,2,0,1,0,0,0,1,1,0,0,1,0,1(...TRUNCATED)
[0.348,0.352,0.356,0.361,0.365,0.369,0.373,0.377,0.382,0.386,0.39,0.394,0.398,0.403,0.407,0.411,0.41(...TRUNCATED)
[34,21,27,53,61,70,47,78,78,140,172,254,359,760,937,1744,2941,5391,8903,16128,26486,33909,39186,3595(...TRUNCATED)
[-1.643,-1.585,-1.527,-1.469,-1.411,-1.353,-1.295,-1.237,-1.179,-1.121,-1.063,-1.005,-0.947,-0.889,-(...TRUNCATED)
["▁queſta","▁indígen","[@BOS@]","<unused3>","<unused41>","<unused43>","<unused28>","<unused16>(...TRUNCATED)
[ -1.672, -1.672, -1.664, -1.664, -1.664, -1.664, -1.664, -1.664, -1.664, -1.664 ]
[ "1", "2", "0", "3", "4", "5", "8", "6", "7", "9" ]
[ 1.227, 1.164, 1.164, 1.133, 1.062, 1.047, 1.008, 1, 0.98, 0.965 ]
[ 1325, 1437, 1307 ]
[ 0.007, 0.002, 0.006 ]
[ 0.033, 0.011, 0.007 ]
[ 514, 1564, 747 ]
[ 0.003, 0.003, 0.002 ]
[ 0.107, 0.106, 0.1 ]
[{"tokens":["▁\\","hbox","{","ess","▁sup","}(","A",")","▁<","▁\\","infty","$),","▁and","(...TRUNCATED)
[{"description":" attends to specific tokens related to a certain context from arbitrary tokens in l(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
101
12.36
0.00282
[1677,902,605,404,299,232,209,159,145,123,106,81,77,73,47,50,37,38,33,28,30,30,13,23,20,12,10,10,16,(...TRUNCATED)
[0.604,0.842,1.079,1.317,1.554,1.792,2.029,2.267,2.504,2.742,2.979,3.217,3.454,3.692,3.929,4.166,4.4(...TRUNCATED)
[3,6,7,9,19,16,36,47,62,82,86,109,150,162,177,209,244,229,243,250,256,268,324,361,492,654,938,1438,2(...TRUNCATED)
[-1.099,-1.064,-1.029,-0.993,-0.958,-0.923,-0.887,-0.852,-0.816,-0.781,-0.746,-0.71,-0.675,-0.639,-0(...TRUNCATED)
[ "'));\r", "'))\r", "\")));\r", "\"]);\r", "'),\r", "▁},\r", "']);\r", "\"])\r", "'],\r", "\"];\r" ]
[ -1.117, -1.102, -1.086, -1.062, -1.062, -1.055, -1.047, -1.047, -1.047, -1.039 ]
[".","▁anchor","▁VECTOR","▁matrix","▁Matrix","▁the","▁syntax","▁gradient","▁a","▁i(...TRUNCATED)
[ 0.652, 0.562, 0.559, 0.559, 0.555, 0.547, 0.543, 0.535, 0.527, 0.527 ]
[ 1279, 4058, 1117 ]
[ 0.128, 0.105, 0.101 ]
[ 0.074, 0.064, 0.026 ]
[ 1254, 1279, 1243 ]
[ 0.019, 0.012, 0.01 ]
[ 0.359, 0.229, 0.184 ]
[{"tokens":["}$","▁($","T","_{\\","rm","▁c","}^{\\","rm","▁ph","}$","),","▁$\\","mathcal","{(...TRUNCATED)
[{"description":" attends to tokens involving specific symbols or notations from tokens related to m(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
102
8.497
0.01466
[14697,6506,3297,1952,1158,797,519,380,324,170,162,131,89,67,60,50,60,42,37,40,20,17,53,15,13,15,9,6(...TRUNCATED)
[0.455,0.618,0.78,0.942,1.105,1.267,1.43,1.592,1.755,1.917,2.08,2.242,2.405,2.567,2.729,2.892,3.054,(...TRUNCATED)
[2,52,81,64,56,59,59,89,82,94,160,203,148,250,394,667,1432,2771,4775,7609,10798,12358,16423,18177,19(...TRUNCATED)
[-0.702,-0.685,-0.668,-0.651,-0.634,-0.616,-0.599,-0.582,-0.565,-0.547,-0.53,-0.513,-0.496,-0.479,-0(...TRUNCATED)
[ "ſicht", "", "ſſung", "<unused17>", "ᦺ", "bildtitel", "", "▁ſeines", "<unused47>", "▁ſelb" ]
[ -0.711, -0.711, -0.691, -0.688, -0.688, -0.688, -0.688, -0.688, -0.688, -0.688 ]
["▁húmedo","▁suivante","▁progrès","▁imaginación","▁obligado","▁vuestro","▁oídos","(...TRUNCATED)
[ 0.149, 0.118, 0.107, 0.106, 0.1, 0.099, 0.097, 0.096, 0.094, 0.094 ]
[ 1889, 2228, 1973 ]
[ 0.15, 0.104, 0.123 ]
[ 0.028, 0.017, 0.017 ]
[ 2089, 2277, 2230 ]
[ 0.007, 0.007, 0.007 ]
[ 0.167, 0.164, 0.164 ]
[{"tokens":["I","▁can","▁tell","▁you","▁why","▁this","▁is","▁happening",",","▁but","(...TRUNCATED)
[{"description":" attends to instances of \"I\" from various contextual statements or thoughts","typ(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
103
6.306
0.0003
[129,109,101,77,61,46,25,25,9,3,1,2,1,2,1,1,0,0,0,0,1,0,2,2,1,1,2,6,1,2,2,1,6,3,1,2,1,0,2,1,3,1,1,0,(...TRUNCATED)
[0.505,0.622,0.74,0.857,0.974,1.091,1.208,1.325,1.443,1.56,1.677,1.794,1.911,2.029,2.146,2.263,2.38,(...TRUNCATED)
[1,2,2,3,3,13,7,17,25,33,45,44,93,105,140,130,138,181,207,235,196,263,274,330,396,501,707,1120,2039,(...TRUNCATED)
[-1.064,-1.035,-1.006,-0.977,-0.948,-0.919,-0.89,-0.861,-0.832,-0.803,-0.774,-0.745,-0.716,-0.687,-0(...TRUNCATED)
[ "\".\r", ")”.", ")\".", "...\".", "!”.", "\":\r", ".\";\r", "\"],\r", "\"];\r", "!\"." ]
[ -1.078, -1.023, -1.023, -1.008, -0.992, -0.973, -0.969, -0.969, -0.945, -0.934 ]
["▁kiin","▁provisoire","▁cascada","▁actuels","▁neutre","▁matching","▁vectorielles","(...TRUNCATED)
[ 0.369, 0.299, 0.299, 0.295, 0.293, 0.281, 0.281, 0.279, 0.279, 0.279 ]
[ 3886, 1200, 3903 ]
[ 0.105, 0.067, 0.06 ]
[ 0.013, 0.007, 0.006 ]
[ 1045, 1187, 1279 ]
[ 0.009, 0.007, 0.007 ]
[ 0.218, 0.186, 0.176 ]
[{"tokens":["▁the","▁conservative","▁position",".","\n\n","AMERICAN","▁POLITICS","\n\n","Oh"(...TRUNCATED)
[{"description":" attends to closing punctuation tokens from related opening punctuation tokens","ty(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
104
0.564
0
[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1(...TRUNCATED)
[0.545,0.545,0.546,0.546,0.547,0.547,0.547,0.548,0.548,0.548,0.549,0.549,0.55,0.55,0.55,0.551,0.551,(...TRUNCATED)
[3,14,60,145,410,1053,1898,3487,6121,8088,10490,14276,14953,17818,17397,18269,19528,16654,16617,1472(...TRUNCATED)
[-0.63,-0.607,-0.585,-0.563,-0.541,-0.519,-0.496,-0.474,-0.452,-0.43,-0.408,-0.385,-0.363,-0.341,-0.(...TRUNCATED)
[ "▽", "◯", "□", "dra", "cre", "Ⅴ", "Sof", "▁", "Gar", "Fa" ]
[ -0.641, -0.621, -0.621, -0.617, -0.609, -0.609, -0.605, -0.605, -0.605, -0.605 ]
["▁desmotivaciones","▁Italij","▁avoient","▁ainfi","▁enfans","▁Inscrivez","▁feroit","(...TRUNCATED)
[ 0.469, 0.451, 0.439, 0.432, 0.408, 0.393, 0.367, 0.367, 0.365, 0.359 ]
[ 2612, 2999, 2743 ]
[ 0.007, 0.007, 0.006 ]
[ 0, 0, 0 ]
[ 2820, 2383, 2405 ]
[ 0.003, 0.002, 0.002 ]
[ 0.109, 0.089, 0.089 ]
[{"tokens":["▁need","▁to","▁make",".","\n\n","####","▁Non","-","minimal","▁sector","\n\n",(...TRUNCATED)
[{"description":" attends to specific technical terms or phrases from general contextual information(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
105
7.265
0.00316
[2767,1301,709,484,340,212,154,120,118,73,51,48,31,15,22,22,26,14,8,7,6,8,3,8,2,5,3,6,4,1,0,4,6,5,2,(...TRUNCATED)
[0.454,0.591,0.729,0.867,1.004,1.142,1.279,1.417,1.555,1.692,1.83,1.967,2.105,2.243,2.38,2.518,2.655(...TRUNCATED)
[1,1,1,1,2,5,6,12,22,38,60,109,204,370,633,881,1335,2025,3037,4556,6273,8649,11309,14144,16746,19992(...TRUNCATED)
[-0.249,-0.237,-0.224,-0.211,-0.198,-0.186,-0.173,-0.16,-0.147,-0.135,-0.122,-0.109,-0.096,-0.083,-0(...TRUNCATED)
["UnusedPrivate","Hochspringen","UserScript","semantics","findpost","TagMode","▁препратки(...TRUNCATED)
[ -0.256, -0.241, -0.222, -0.206, -0.198, -0.196, -0.19, -0.188, -0.187, -0.186 ]
["pulseira","▁témoig","coço","▁centrally","tênis","ðsíða","Únete","Bibitem","botella","ma(...TRUNCATED)
[ 0.383, 0.369, 0.367, 0.365, 0.363, 0.359, 0.355, 0.354, 0.352, 0.348 ]
[ 2934, 2633, 3047 ]
[ 0.048, 0.071, 0.072 ]
[ 0.044, 0.016, 0.015 ]
[ 2934, 3047, 2829 ]
[ 0.007, 0.005, 0.004 ]
[ 0.213, 0.154, 0.141 ]
[{"tokens":["\n","▁▁▁▁","}","\n\n","}","\n\n","class","▁Question","▁{","\n\n","▁▁▁(...TRUNCATED)
[{"description":" attends to the term \"Answer\" from related function outputs in the code","typeNam(...TRUNCATED)
gemma-2-9b
0-gemmascope-att-16k
106
2.397
0.00194
[1007,651,466,330,264,221,174,164,126,102,81,80,68,55,43,37,32,28,28,18,13,12,13,5,5,13,2,6,2,4,1,2,(...TRUNCATED)
[0.398,0.438,0.478,0.519,0.559,0.6,0.64,0.68,0.721,0.761,0.801,0.842,0.882,0.923,0.963,1.003,1.044,1(...TRUNCATED)
[2,0,1,2,2,8,5,18,40,95,300,818,1798,3570,6509,10336,15130,19824,23033,24100,25130,23057,22576,19508(...TRUNCATED)
[-0.293,-0.269,-0.245,-0.221,-0.197,-0.174,-0.15,-0.126,-0.102,-0.078,-0.054,-0.031,-0.007,0.017,0.0(...TRUNCATED)
[ "▁de", "▁l", "▁la", "▁d", "▁en", "▁of", "▁in", "’", "▁and", "▁que" ]
[ -0.305, -0.287, -0.242, -0.226, -0.22, -0.207, -0.206, -0.184, -0.181, -0.177 ]
["<unused79>","<unused23>","[@BOS@]","<unused3>","<unused43>","<unused47>","<unused41>","<unused16>"(...TRUNCATED)
[ 0.887, 0.887, 0.883, 0.883, 0.883, 0.883, 0.883, 0.883, 0.883, 0.883 ]
[ 3025, 2769, 3016 ]
[ 0.074, 0.076, 0.04 ]
[ 0.041, 0.014, 0.012 ]
[ 2046, 1841, 2041 ]
[ 0.007, 0.005, 0.005 ]
[ 0.192, 0.131, 0.118 ]
[{"tokens":[",","▁Mob","id","oy",",","▁on","▁a","▁pas","▁de","▁truc","s","▁Ã"," ","(...TRUNCATED)
[{"description":" attends to various tokens with \"de\" in context from tokens that follow them in t(...TRUNCATED)
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