Cloud Atlas
Collection
A collection of model atlases for mechanistic interpretation I've created. • 18 items • Updated
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
model_id: string
d_mlp: int64
d_model: int64
n_heads: int64
n_kv_heads: int64
head_dim: int64
num_layers: int64
corpus: struct<source: string, hash: string, n_prompts: int64, buckets: struct<core_technical: int64, ml_ai: (... 269 chars omitted)
child 0, source: string
child 1, hash: string
child 2, n_prompts: int64
child 3, buckets: struct<core_technical: int64, ml_ai: int64, research: int64, writing: int64, creative_writing: int64 (... 204 chars omitted)
child 0, core_technical: int64
child 1, ml_ai: int64
child 2, research: int64
child 3, writing: int64
child 4, creative_writing: int64
child 5, brainstorming: int64
child 6, planning: int64
child 7, data: int64
child 8, learning: int64
child 9, roleplay: int64
child 10, introspection: int64
child 11, business: int64
child 12, design: int64
child 13, niche: int64
child 14, community: int64
child 15, humor: int64
child 16, tool_use: int64
components_per_layer: struct<0: list<item: string>, 1: list<item: string>, 2: list<item: string>, 3: list<item: string>, 4 (... 2996 chars omitted)
child 0, 0: list<item: string>
child 0, item: string
child 1, 1: list<item: string>
child 0, item: string
child 2, 2: list<item: string>
child 0, item: string
child 3, 3: list<item: string>
child 0, item: string
child 4, 4: list<item: string>
child 0, item: string
child 5, 5: list<item: string>
...
ring>
child 0, item: string
child 112, 112: list<item: string>
child 0, item: string
child 113, 113: list<item: string>
child 0, item: string
child 114, 114: list<item: string>
child 0, item: string
child 115, 115: list<item: string>
child 0, item: string
child 116, 116: list<item: string>
child 0, item: string
child 117, 117: list<item: string>
child 0, item: string
child 118, 118: list<item: string>
child 0, item: string
child 119, 119: list<item: string>
child 0, item: string
child 120, 120: list<item: string>
child 0, item: string
child 121, 121: list<item: string>
child 0, item: string
child 122, 122: list<item: string>
child 0, item: string
child 123, 123: list<item: string>
child 0, item: string
child 124, 124: list<item: string>
child 0, item: string
child 125, 125: list<item: string>
child 0, item: string
child 126, 126: list<item: string>
child 0, item: string
child 127, 127: list<item: string>
child 0, item: string
subzero_layers: list<item: int64>
child 0, item: int64
model_meta: struct<d_mlp: int64, d_model: int64, n_heads: int64, n_kv_heads: int64, head_dim: int64, num_layers: (... 7 chars omitted)
child 0, d_mlp: int64
child 1, d_model: int64
child 2, n_heads: int64
child 3, n_kv_heads: int64
child 4, head_dim: int64
child 5, num_layers: int64
layers: list<item: int64>
child 0, item: int64
updated_at: timestamp[s]
to
{'model_id': Value('string'), 'model_meta': {'d_mlp': Value('int64'), 'd_model': Value('int64'), 'n_heads': Value('int64'), 'n_kv_heads': Value('int64'), 'head_dim': Value('int64'), 'num_layers': Value('int64')}, 'layers': List(Value('int64')), 'components_per_layer': {'0': List(Value('string')), '1': List(Value('string')), '2': List(Value('string')), '3': List(Value('string')), '4': List(Value('string')), '5': List(Value('string')), '6': List(Value('string')), '7': List(Value('string')), '8': List(Value('string')), '9': List(Value('string')), '10': List(Value('string')), '11': List(Value('string')), '12': List(Value('string')), '13': List(Value('string')), '14': List(Value('string')), '15': List(Value('string')), '16': List(Value('string')), '17': List(Value('string')), '18': List(Value('string')), '19': List(Value('string')), '20': List(Value('string')), '21': List(Value('string')), '22': List(Value('string')), '23': List(Value('string')), '24': List(Value('string')), '25': List(Value('string')), '26': List(Value('string')), '27': List(Value('string')), '28': List(Value('string')), '29': List(Value('string')), '30': List(Value('string')), '31': List(Value('string')), '32': List(Value('string')), '33': List(Value('string')), '34': List(Value('string')), '35': List(Value('string')), '36': List(Value('string')), '37': List(Value('string')), '38': List(Value('string')), '39': List(Value('string')), '40': List(Value('string')), '41': List(Value('string')), '42': List(Value('stri
...
ist(Value('string')), '101': List(Value('string')), '102': List(Value('string')), '103': List(Value('string')), '104': List(Value('string')), '105': List(Value('string')), '106': List(Value('string')), '107': List(Value('string')), '108': List(Value('string')), '109': List(Value('string')), '110': List(Value('string')), '111': List(Value('string')), '112': List(Value('string')), '113': List(Value('string')), '114': List(Value('string')), '115': List(Value('string')), '116': List(Value('string')), '117': List(Value('string')), '118': List(Value('string')), '119': List(Value('string')), '120': List(Value('string')), '121': List(Value('string')), '122': List(Value('string')), '123': List(Value('string')), '124': List(Value('string')), '125': List(Value('string')), '126': List(Value('string')), '127': List(Value('string'))}, 'subzero_layers': List(Value('int64')), 'corpus': {'source': Value('string'), 'hash': Value('string'), 'n_prompts': Value('int64'), 'buckets': {'core_technical': Value('int64'), 'ml_ai': Value('int64'), 'research': Value('int64'), 'writing': Value('int64'), 'creative_writing': Value('int64'), 'brainstorming': Value('int64'), 'planning': Value('int64'), 'data': Value('int64'), 'learning': Value('int64'), 'roleplay': Value('int64'), 'introspection': Value('int64'), 'business': Value('int64'), 'design': Value('int64'), 'niche': Value('int64'), 'community': Value('int64'), 'humor': Value('int64'), 'tool_use': Value('int64')}}, 'updated_at': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
model_id: string
d_mlp: int64
d_model: int64
n_heads: int64
n_kv_heads: int64
head_dim: int64
num_layers: int64
corpus: struct<source: string, hash: string, n_prompts: int64, buckets: struct<core_technical: int64, ml_ai: (... 269 chars omitted)
child 0, source: string
child 1, hash: string
child 2, n_prompts: int64
child 3, buckets: struct<core_technical: int64, ml_ai: int64, research: int64, writing: int64, creative_writing: int64 (... 204 chars omitted)
child 0, core_technical: int64
child 1, ml_ai: int64
child 2, research: int64
child 3, writing: int64
child 4, creative_writing: int64
child 5, brainstorming: int64
child 6, planning: int64
child 7, data: int64
child 8, learning: int64
child 9, roleplay: int64
child 10, introspection: int64
child 11, business: int64
child 12, design: int64
child 13, niche: int64
child 14, community: int64
child 15, humor: int64
child 16, tool_use: int64
components_per_layer: struct<0: list<item: string>, 1: list<item: string>, 2: list<item: string>, 3: list<item: string>, 4 (... 2996 chars omitted)
child 0, 0: list<item: string>
child 0, item: string
child 1, 1: list<item: string>
child 0, item: string
child 2, 2: list<item: string>
child 0, item: string
child 3, 3: list<item: string>
child 0, item: string
child 4, 4: list<item: string>
child 0, item: string
child 5, 5: list<item: string>
...
ring>
child 0, item: string
child 112, 112: list<item: string>
child 0, item: string
child 113, 113: list<item: string>
child 0, item: string
child 114, 114: list<item: string>
child 0, item: string
child 115, 115: list<item: string>
child 0, item: string
child 116, 116: list<item: string>
child 0, item: string
child 117, 117: list<item: string>
child 0, item: string
child 118, 118: list<item: string>
child 0, item: string
child 119, 119: list<item: string>
child 0, item: string
child 120, 120: list<item: string>
child 0, item: string
child 121, 121: list<item: string>
child 0, item: string
child 122, 122: list<item: string>
child 0, item: string
child 123, 123: list<item: string>
child 0, item: string
child 124, 124: list<item: string>
child 0, item: string
child 125, 125: list<item: string>
child 0, item: string
child 126, 126: list<item: string>
child 0, item: string
child 127, 127: list<item: string>
child 0, item: string
subzero_layers: list<item: int64>
child 0, item: int64
model_meta: struct<d_mlp: int64, d_model: int64, n_heads: int64, n_kv_heads: int64, head_dim: int64, num_layers: (... 7 chars omitted)
child 0, d_mlp: int64
child 1, d_model: int64
child 2, n_heads: int64
child 3, n_kv_heads: int64
child 4, head_dim: int64
child 5, num_layers: int64
layers: list<item: int64>
child 0, item: int64
updated_at: timestamp[s]
to
{'model_id': Value('string'), 'model_meta': {'d_mlp': Value('int64'), 'd_model': Value('int64'), 'n_heads': Value('int64'), 'n_kv_heads': Value('int64'), 'head_dim': Value('int64'), 'num_layers': Value('int64')}, 'layers': List(Value('int64')), 'components_per_layer': {'0': List(Value('string')), '1': List(Value('string')), '2': List(Value('string')), '3': List(Value('string')), '4': List(Value('string')), '5': List(Value('string')), '6': List(Value('string')), '7': List(Value('string')), '8': List(Value('string')), '9': List(Value('string')), '10': List(Value('string')), '11': List(Value('string')), '12': List(Value('string')), '13': List(Value('string')), '14': List(Value('string')), '15': List(Value('string')), '16': List(Value('string')), '17': List(Value('string')), '18': List(Value('string')), '19': List(Value('string')), '20': List(Value('string')), '21': List(Value('string')), '22': List(Value('string')), '23': List(Value('string')), '24': List(Value('string')), '25': List(Value('string')), '26': List(Value('string')), '27': List(Value('string')), '28': List(Value('string')), '29': List(Value('string')), '30': List(Value('string')), '31': List(Value('string')), '32': List(Value('string')), '33': List(Value('string')), '34': List(Value('string')), '35': List(Value('string')), '36': List(Value('string')), '37': List(Value('string')), '38': List(Value('string')), '39': List(Value('string')), '40': List(Value('string')), '41': List(Value('string')), '42': List(Value('stri
...
ist(Value('string')), '101': List(Value('string')), '102': List(Value('string')), '103': List(Value('string')), '104': List(Value('string')), '105': List(Value('string')), '106': List(Value('string')), '107': List(Value('string')), '108': List(Value('string')), '109': List(Value('string')), '110': List(Value('string')), '111': List(Value('string')), '112': List(Value('string')), '113': List(Value('string')), '114': List(Value('string')), '115': List(Value('string')), '116': List(Value('string')), '117': List(Value('string')), '118': List(Value('string')), '119': List(Value('string')), '120': List(Value('string')), '121': List(Value('string')), '122': List(Value('string')), '123': List(Value('string')), '124': List(Value('string')), '125': List(Value('string')), '126': List(Value('string')), '127': List(Value('string'))}, 'subzero_layers': List(Value('int64')), 'corpus': {'source': Value('string'), 'hash': Value('string'), 'n_prompts': Value('int64'), 'buckets': {'core_technical': Value('int64'), 'ml_ai': Value('int64'), 'research': Value('int64'), 'writing': Value('int64'), 'creative_writing': Value('int64'), 'brainstorming': Value('int64'), 'planning': Value('int64'), 'data': Value('int64'), 'learning': Value('int64'), 'roleplay': Value('int64'), 'introspection': Value('int64'), 'business': Value('int64'), 'design': Value('int64'), 'niche': Value('int64'), 'community': Value('int64'), 'humor': Value('int64'), 'tool_use': Value('int64')}}, 'updated_at': Value('timestamp[s]')}
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.
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