Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
model: string
config: string
load_kwargs: struct<fold_ln: bool, center_writing_weights: bool, center_unembed: bool, fold_value_biases: bool>
child 0, fold_ln: bool
child 1, center_writing_weights: bool
child 2, center_unembed: bool
child 3, fold_value_biases: bool
device: string
dtype: string
transformer_lens_version: null
transformer_lens_commit: string
transformers_version: string
torch_version: string
platform: string
sample_seed: int64
sample_count: int64
blocks.4.hook_k_input: null
ln_final.hook_scale: list<item: int64>
child 0, item: int64
blocks.0.hook_k_input: null
blocks.4.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.1.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.5.hook_resid_post: list<item: int64>
child 0, item: int64
blocks.1.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.4.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_q: list<item: int64>
child 0, item: int64
blocks.4.ln2.hook_normalized: list<item: int64>
child 0, item: int64
blocks.3.ln2.hook_scale: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_attn_scores: list<item: int64>
child 0, item: int64
blocks.4.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.5.hook_q_input: null
blocks.2.hook_v_input: null
blocks.3.hook_q_input: null
blocks.3.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.4.a
...
t: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_result: null
blocks.4.hook_resid_post: list<item: int64>
child 0, item: int64
blocks.5.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.1.ln1.hook_normalized: list<item: int64>
child 0, item: int64
blocks.5.hook_attn_in: null
blocks.0.mlp.hook_post: list<item: int64>
child 0, item: int64
blocks.2.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.3.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.5.mlp.hook_post: list<item: int64>
child 0, item: int64
blocks.3.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.1.hook_q_input: null
blocks.4.attn.hook_rot_k: list<item: int64>
child 0, item: int64
blocks.2.ln1.hook_scale: list<item: int64>
child 0, item: int64
blocks.3.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.0.ln1.hook_normalized: list<item: int64>
child 0, item: int64
blocks.1.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_q: list<item: int64>
child 0, item: int64
blocks.4.hook_v_input: null
blocks.0.hook_attn_in: null
blocks.3.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.2.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.2.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.2.attn.hook_pattern: list<item: int64>
child 0, item: int64
blocks.3.attn.hook_rot_k: list<item: int64>
child 0, item: int64
to
{'blocks.0.attn.hook_attn_scores': List(Value('int64')), 'blocks.0.attn.hook_k': List(Value('int64')), 'blocks.0.attn.hook_pattern': List(Value('int64')), 'blocks.0.attn.hook_q': List(Value('int64')), 'blocks.0.attn.hook_result': Value('null'), 'blocks.0.attn.hook_rot_k': List(Value('int64')), 'blocks.0.attn.hook_rot_q': List(Value('int64')), 'blocks.0.attn.hook_v': List(Value('int64')), 'blocks.0.attn.hook_z': List(Value('int64')), 'blocks.0.hook_attn_in': Value('null'), 'blocks.0.hook_attn_out': List(Value('int64')), 'blocks.0.hook_k_input': Value('null'), 'blocks.0.hook_mlp_in': Value('null'), 'blocks.0.hook_mlp_out': List(Value('int64')), 'blocks.0.hook_q_input': Value('null'), 'blocks.0.hook_resid_post': List(Value('int64')), 'blocks.0.hook_resid_pre': List(Value('int64')), 'blocks.0.hook_v_input': Value('null'), 'blocks.0.ln1.hook_normalized': List(Value('int64')), 'blocks.0.ln1.hook_scale': List(Value('int64')), 'blocks.0.ln2.hook_normalized': List(Value('int64')), 'blocks.0.ln2.hook_scale': List(Value('int64')), 'blocks.0.mlp.hook_post': List(Value('int64')), 'blocks.0.mlp.hook_pre': List(Value('int64')), 'blocks.1.attn.hook_attn_scores': List(Value('int64')), 'blocks.1.attn.hook_k': List(Value('int64')), 'blocks.1.attn.hook_pattern': List(Value('int64')), 'blocks.1.attn.hook_q': List(Value('int64')), 'blocks.1.attn.hook_result': Value('null'), 'blocks.1.attn.hook_rot_k': List(Value('int64')), 'blocks.1.attn.hook_rot_q': List(Value('int64')), 'blocks.1.attn.hook_v': L
...
e('int64')), 'blocks.4.ln2.hook_scale': List(Value('int64')), 'blocks.4.mlp.hook_post': List(Value('int64')), 'blocks.4.mlp.hook_pre': List(Value('int64')), 'blocks.5.attn.hook_attn_scores': List(Value('int64')), 'blocks.5.attn.hook_k': List(Value('int64')), 'blocks.5.attn.hook_pattern': List(Value('int64')), 'blocks.5.attn.hook_q': List(Value('int64')), 'blocks.5.attn.hook_result': Value('null'), 'blocks.5.attn.hook_rot_k': List(Value('int64')), 'blocks.5.attn.hook_rot_q': List(Value('int64')), 'blocks.5.attn.hook_v': List(Value('int64')), 'blocks.5.attn.hook_z': List(Value('int64')), 'blocks.5.hook_attn_in': Value('null'), 'blocks.5.hook_attn_out': List(Value('int64')), 'blocks.5.hook_k_input': Value('null'), 'blocks.5.hook_mlp_in': Value('null'), 'blocks.5.hook_mlp_out': List(Value('int64')), 'blocks.5.hook_q_input': Value('null'), 'blocks.5.hook_resid_post': List(Value('int64')), 'blocks.5.hook_resid_pre': List(Value('int64')), 'blocks.5.hook_v_input': Value('null'), 'blocks.5.ln1.hook_normalized': List(Value('int64')), 'blocks.5.ln1.hook_scale': List(Value('int64')), 'blocks.5.ln2.hook_normalized': List(Value('int64')), 'blocks.5.ln2.hook_scale': List(Value('int64')), 'blocks.5.mlp.hook_post': List(Value('int64')), 'blocks.5.mlp.hook_pre': List(Value('int64')), 'hook_embed': List(Value('int64')), 'ln_final.hook_normalized': List(Value('int64')), 'ln_final.hook_scale': List(Value('int64')), 'unembed.hook_in': List(Value('int64')), 'unembed.hook_out': List(Value('int64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
model: string
config: string
load_kwargs: struct<fold_ln: bool, center_writing_weights: bool, center_unembed: bool, fold_value_biases: bool>
child 0, fold_ln: bool
child 1, center_writing_weights: bool
child 2, center_unembed: bool
child 3, fold_value_biases: bool
device: string
dtype: string
transformer_lens_version: null
transformer_lens_commit: string
transformers_version: string
torch_version: string
platform: string
sample_seed: int64
sample_count: int64
blocks.4.hook_k_input: null
ln_final.hook_scale: list<item: int64>
child 0, item: int64
blocks.0.hook_k_input: null
blocks.4.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.1.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.5.hook_resid_post: list<item: int64>
child 0, item: int64
blocks.1.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.4.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_q: list<item: int64>
child 0, item: int64
blocks.4.ln2.hook_normalized: list<item: int64>
child 0, item: int64
blocks.3.ln2.hook_scale: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_attn_scores: list<item: int64>
child 0, item: int64
blocks.4.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.5.hook_q_input: null
blocks.2.hook_v_input: null
blocks.3.hook_q_input: null
blocks.3.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.4.a
...
t: list<item: int64>
child 0, item: int64
blocks.0.attn.hook_result: null
blocks.4.hook_resid_post: list<item: int64>
child 0, item: int64
blocks.5.mlp.hook_pre: list<item: int64>
child 0, item: int64
blocks.1.ln1.hook_normalized: list<item: int64>
child 0, item: int64
blocks.5.hook_attn_in: null
blocks.0.mlp.hook_post: list<item: int64>
child 0, item: int64
blocks.2.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.3.hook_attn_out: list<item: int64>
child 0, item: int64
blocks.5.mlp.hook_post: list<item: int64>
child 0, item: int64
blocks.3.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.1.hook_q_input: null
blocks.4.attn.hook_rot_k: list<item: int64>
child 0, item: int64
blocks.2.ln1.hook_scale: list<item: int64>
child 0, item: int64
blocks.3.attn.hook_rot_q: list<item: int64>
child 0, item: int64
blocks.0.ln1.hook_normalized: list<item: int64>
child 0, item: int64
blocks.1.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_q: list<item: int64>
child 0, item: int64
blocks.4.hook_v_input: null
blocks.0.hook_attn_in: null
blocks.3.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.5.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.2.attn.hook_k: list<item: int64>
child 0, item: int64
blocks.2.hook_mlp_out: list<item: int64>
child 0, item: int64
blocks.2.attn.hook_pattern: list<item: int64>
child 0, item: int64
blocks.3.attn.hook_rot_k: list<item: int64>
child 0, item: int64
to
{'blocks.0.attn.hook_attn_scores': List(Value('int64')), 'blocks.0.attn.hook_k': List(Value('int64')), 'blocks.0.attn.hook_pattern': List(Value('int64')), 'blocks.0.attn.hook_q': List(Value('int64')), 'blocks.0.attn.hook_result': Value('null'), 'blocks.0.attn.hook_rot_k': List(Value('int64')), 'blocks.0.attn.hook_rot_q': List(Value('int64')), 'blocks.0.attn.hook_v': List(Value('int64')), 'blocks.0.attn.hook_z': List(Value('int64')), 'blocks.0.hook_attn_in': Value('null'), 'blocks.0.hook_attn_out': List(Value('int64')), 'blocks.0.hook_k_input': Value('null'), 'blocks.0.hook_mlp_in': Value('null'), 'blocks.0.hook_mlp_out': List(Value('int64')), 'blocks.0.hook_q_input': Value('null'), 'blocks.0.hook_resid_post': List(Value('int64')), 'blocks.0.hook_resid_pre': List(Value('int64')), 'blocks.0.hook_v_input': Value('null'), 'blocks.0.ln1.hook_normalized': List(Value('int64')), 'blocks.0.ln1.hook_scale': List(Value('int64')), 'blocks.0.ln2.hook_normalized': List(Value('int64')), 'blocks.0.ln2.hook_scale': List(Value('int64')), 'blocks.0.mlp.hook_post': List(Value('int64')), 'blocks.0.mlp.hook_pre': List(Value('int64')), 'blocks.1.attn.hook_attn_scores': List(Value('int64')), 'blocks.1.attn.hook_k': List(Value('int64')), 'blocks.1.attn.hook_pattern': List(Value('int64')), 'blocks.1.attn.hook_q': List(Value('int64')), 'blocks.1.attn.hook_result': Value('null'), 'blocks.1.attn.hook_rot_k': List(Value('int64')), 'blocks.1.attn.hook_rot_q': List(Value('int64')), 'blocks.1.attn.hook_v': L
...
e('int64')), 'blocks.4.ln2.hook_scale': List(Value('int64')), 'blocks.4.mlp.hook_post': List(Value('int64')), 'blocks.4.mlp.hook_pre': List(Value('int64')), 'blocks.5.attn.hook_attn_scores': List(Value('int64')), 'blocks.5.attn.hook_k': List(Value('int64')), 'blocks.5.attn.hook_pattern': List(Value('int64')), 'blocks.5.attn.hook_q': List(Value('int64')), 'blocks.5.attn.hook_result': Value('null'), 'blocks.5.attn.hook_rot_k': List(Value('int64')), 'blocks.5.attn.hook_rot_q': List(Value('int64')), 'blocks.5.attn.hook_v': List(Value('int64')), 'blocks.5.attn.hook_z': List(Value('int64')), 'blocks.5.hook_attn_in': Value('null'), 'blocks.5.hook_attn_out': List(Value('int64')), 'blocks.5.hook_k_input': Value('null'), 'blocks.5.hook_mlp_in': Value('null'), 'blocks.5.hook_mlp_out': List(Value('int64')), 'blocks.5.hook_q_input': Value('null'), 'blocks.5.hook_resid_post': List(Value('int64')), 'blocks.5.hook_resid_pre': List(Value('int64')), 'blocks.5.hook_v_input': Value('null'), 'blocks.5.ln1.hook_normalized': List(Value('int64')), 'blocks.5.ln1.hook_scale': List(Value('int64')), 'blocks.5.ln2.hook_normalized': List(Value('int64')), 'blocks.5.ln2.hook_scale': List(Value('int64')), 'blocks.5.mlp.hook_post': List(Value('int64')), 'blocks.5.mlp.hook_pre': List(Value('int64')), 'hook_embed': List(Value('int64')), 'ln_final.hook_normalized': List(Value('int64')), 'ln_final.hook_scale': List(Value('int64')), 'unembed.hook_in': List(Value('int64')), 'unembed.hook_out': List(Value('int64'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
README.md exists but content is empty.
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