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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Float value 0.82 was truncated converting to int64
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 2013, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature[0])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Float value 0.82 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 1412, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
                  builder._prepare_split(
                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 dataset

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modelId
string
layer
string
index
string
maxActApprox
float64
frac_nonzero
float64
freq_hist_data_bar_heights
sequence
freq_hist_data_bar_values
sequence
logits_hist_data_bar_heights
sequence
logits_hist_data_bar_values
sequence
neg_str
sequence
neg_values
sequence
pos_str
sequence
pos_values
sequence
correlated_neurons_indices
sequence
correlated_neurons_l1
sequence
correlated_features_pearson
sequence
neuron_alignment_indices
sequence
neuron_alignment_l1
sequence
neuron_alignment_values
sequence
activations
list
explanations
list
gemma-2-9b
0-gemmascope-att-16k
0
2.822
0.00479
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[ "▁queſta", "▁houſe", "▁myſelf", "<unused52>", "<unused8>", "[@BOS@]", "<unused14>", "<unused68>", "<unused74>", "<unused16>" ]
[ -2.125, -1.9380000000000002, -1.9300000000000002, -1.9140000000000001, -1.8980000000000001, -1.8980000000000001, -1.8980000000000001, -1.8980000000000001, -1.8980000000000001, -1.891 ]
[ "1", "2", "p", "'", "in", "on", "f", "\n", "c", "A" ]
[ 0.891, 0.855, 0.848, 0.84, 0.84, 0.8320000000000001, 0.8320000000000001, 0.8320000000000001, 0.8240000000000001, 0.8240000000000001 ]
[ 3271, 3201, 3191 ]
[ 0.376, 0.382, 0.375 ]
[ 0.018000000000000002, 0.017, 0.015 ]
[ 1304, 1357, 1318 ]
[ 0.008, 0.006, 0.005 ]
[ 0.26, 0.183, 0.159 ]
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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)
[0.454,0.591,0.729,0.867,1.004,1.142,1.279,1.417,1.5550000000000002,1.6920000000000002,1.83,1.967,2.(...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,-0.23700000000000002,-0.224,-0.211,-0.198,-0.186,-0.17300000000000001,-0.16,-0.147,-0.135,-0(...TRUNCATED)
["UnusedPrivate","Hochspringen","UserScript","semantics","findpost","TagMode","▁препратки(...TRUNCATED)
[ -0.256, -0.241, -0.222, -0.20600000000000002, -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, 0.34800000000000003 ]
[ 2934, 2633, 3047 ]
[ 0.048, 0.07100000000000001, 0.07200000000000001 ]
[ 0.044, 0.016, 0.015 ]
[ 2934, 3047, 2829 ]
[ 0.007, 0.005, 0.004 ]
[ 0.213, 0.154, 0.14100000000000001 ]
[{"lossValues":[],"maxValue":7.265,"maxValueTokenIndex":119,"minValue":0,"tokens":["\n","▁▁▁(...TRUNCATED)
[{"description":" attends to the term \"Answer\" from related function outputs in the code","explana(...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)
[0.398,0.438,0.47800000000000004,0.519,0.559,0.6000000000000001,0.64,0.68,0.721,0.761,0.801,0.842,0.(...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,-0.17400000000000002,-0.15,-0.126,-0.10200000000000001,-0.078,-0(...TRUNCATED)
[ "▁de", "▁l", "▁la", "▁d", "▁en", "▁of", "▁in", "’", "▁and", "▁que" ]
[-0.305,-0.28700000000000003,-0.242,-0.226,-0.22,-0.20700000000000002,-0.20600000000000002,-0.184,-0(...TRUNCATED)
["<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, 0.11800000000000001 ]
[{"lossValues":[],"maxValue":2.3970000000000002,"maxValueTokenIndex":10,"minValue":0,"tokens":[",","(...TRUNCATED)
[{"description":" attends to various tokens with \"de\" in context from tokens that follow them in t(...TRUNCATED)
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