ICA Lens: Interpreting Language Models Without Training Another Dictionary
Paper • 2606.11722 • Published • 14
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
layer: string
activation_manifest: string
activation_shape: list<item: int64>
child 0, item: int64
artifact_format: string
method: string
algorithm: string
preprocess: string
rows: int64
hidden_size: int64
n_components: int64
iterations: int64
converged: bool
lim_history: list<item: double>
child 0, item: double
lim_stats_history: list<item: struct<iteration: int64, elapsed_seconds: double, max: double, p99: double, p95: double, (... 56 chars omitted)
child 0, item: struct<iteration: int64, elapsed_seconds: double, max: double, p99: double, p95: double, p05: double (... 44 chars omitted)
child 0, iteration: int64
child 1, elapsed_seconds: double
child 2, max: double
child 3, p99: double
child 4, p95: double
child 5, p05: double
child 6, median: double
child 7, mean: double
child 8, std: double
final_lim: double
max_iter: int64
tol: double
fun: string
seed: int64
norm_eps: double
elapsed_seconds: double
contents: struct<models: struct<path: string, description: string>, databases: struct<path: string, files: str (... 109 chars omitted)
child 0, models: struct<path: string, description: string>
child 0, path: string
child 1, description: string
child 1, databases: struct<path: string, files: struct<ica_probe_mini.sqlite: struct<description: string>, ica_probe_ful (... 39 chars omitted)
child 0, path: string
child 1, files: struct<ica_probe_mini.sqlite: struct<description: string>, ica_probe_full.sqlite: struct<description (... 10 chars omitted)
child 0, ica_probe_mini.sqlite: struct<description: string>
child 0, description: string
child 1, ica_probe_full.sqlite: struct<description: string>
child 0, description: string
repo_id: string
repo_type: string
schema_version: int64
to
{'schema_version': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'contents': {'models': {'path': Value('string'), 'description': Value('string')}, 'databases': {'path': Value('string'), 'files': {'ica_probe_mini.sqlite': {'description': Value('string')}, 'ica_probe_full.sqlite': {'description': Value('string')}}}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
layer: string
activation_manifest: string
activation_shape: list<item: int64>
child 0, item: int64
artifact_format: string
method: string
algorithm: string
preprocess: string
rows: int64
hidden_size: int64
n_components: int64
iterations: int64
converged: bool
lim_history: list<item: double>
child 0, item: double
lim_stats_history: list<item: struct<iteration: int64, elapsed_seconds: double, max: double, p99: double, p95: double, (... 56 chars omitted)
child 0, item: struct<iteration: int64, elapsed_seconds: double, max: double, p99: double, p95: double, p05: double (... 44 chars omitted)
child 0, iteration: int64
child 1, elapsed_seconds: double
child 2, max: double
child 3, p99: double
child 4, p95: double
child 5, p05: double
child 6, median: double
child 7, mean: double
child 8, std: double
final_lim: double
max_iter: int64
tol: double
fun: string
seed: int64
norm_eps: double
elapsed_seconds: double
contents: struct<models: struct<path: string, description: string>, databases: struct<path: string, files: str (... 109 chars omitted)
child 0, models: struct<path: string, description: string>
child 0, path: string
child 1, description: string
child 1, databases: struct<path: string, files: struct<ica_probe_mini.sqlite: struct<description: string>, ica_probe_ful (... 39 chars omitted)
child 0, path: string
child 1, files: struct<ica_probe_mini.sqlite: struct<description: string>, ica_probe_full.sqlite: struct<description (... 10 chars omitted)
child 0, ica_probe_mini.sqlite: struct<description: string>
child 0, description: string
child 1, ica_probe_full.sqlite: struct<description: string>
child 0, description: string
repo_id: string
repo_type: string
schema_version: int64
to
{'schema_version': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'contents': {'models': {'path': Value('string'), 'description': Value('string')}, 'databases': {'path': Value('string'), 'files': {'ica_probe_mini.sqlite': {'description': Value('string')}, 'ica_probe_full.sqlite': {'description': Value('string')}}}}}
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.
ICA Lens Paper Artifacts
This dataset stores public artifacts for the ICA Lens paper repository:
https://github.com/liusida/ica-lens-paper
Paper: https://arxiv.org/abs/2606.11722
Project page: https://liusida.github.io/ica-lens-paper/
Code: https://github.com/liusida/ica-lens-paper
Contents
models/
gpt2/
gemma2_2b/
qwen3_5_2b_base/
databases/
ica_probe_mini.sqlite
ica_probe_full.sqlite
manifest.json
checksums.sha256
models/ contains fitted FastICA artifacts and JSON metadata. databases/
contains SQLite databases for the ICA Lens explorer.
The mini database keeps the main browsing and annotation functionality while dropping token-level context heatmap rows and redundant example bands. The full database preserves the richer context-token tables.
Recommended Use
Clone the code repository, then run:
uv sync
uv run python scripts/fetch_artifacts.py --models --databases
uv run python -m server.app --port 8001
The artifact manifest in the code repository points to this dataset.
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