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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:    ArrowInvalid
Message:      JSON parse error: Missing a name for object member. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1391, in _parse
                  self.obj = DataFrame(
                             ~~~~~~~~~^
                      ujson_loads(json, precise_float=self.precise_float), dtype=None
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/core/frame.py", line 782, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/usr/local/lib/python3.14/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                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: JSON parse error: Missing a name for object member. in row 0

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2026.TA.comply_vs_refuse_uncapped_error_graphs

Base-vs-adapter attribution graphs for the comply_vs_refuse_uncapped_error run, built with python -m analysis.attribution.graphs.build_graphs with graph kind(s) fused; each graph set is its own subdir.

Fused graphs (fused/)

Combined base+adapter attribution graphs for the comply_vs_refuse_uncapped_error run: ONE attribution graph per prompt over a single forward pass of the model named by the backbone below. Each MLP is replaced by T_base(x) + T_adapter(x) + Err, so every graph holds GemmaScope base features (hexagon ⬢), transcoder-adapter features (circle ●) and reconstruction-error nodes (triangle ▲) under one shared set of logit nodes; base<->adapter edges and edges into the logits are real attribution. This differs from the overlay graphs (--graph_kind overlay), which glue two separately computed graphs that share only embedding nodes.

Backbone: adapter. The traced forward pass is the REAL adapter model: the adapter branch is fused into every block's MLP (Gemma-2's pre-/post-MLP norms folded into the adapter weights), so logits, continuations, activations and error nodes are the adapter model's and T_base + T_adapter + error is exact.

The 2026-10-03 fused set of experiments/fused_graph_influence_shares built with uncapped error nodes (the errall variant's counterpart), over the comply-vs-refuse hires prompts.

Uploaded unchanged from the cluster's scratch volume by the disk audit of 2026-10-11 (claude_updates/memory/reports/disk_audit.md) so the scratch copy could be deleted. A historical set: the refusal-tracing, fused-graph and input-shift writeups cite the sets they name, and the headline rerun of 2026-10 (siddharthmb/2026.TA.gemma2_2b_headline_2026-10d_tc8192_decb_l1w0.001_auxk512_fp32_tarbb_lb2_ln1_sl17824146; the sets siddharthmb/2026.TA.tc8192_refusal_first10_headline_2026-10d_graphs, siddharthmb/2026.TA.tc8192_compliance_first10_headline_2026-10d_graphs) supersedes the adapter-side claims (docs/decisions.md §9, §11).

How to use

uv run --extra viz python -m analysis.serve siddharthmb/2026.TA.comply_vs_refuse_uncapped_error_graphs:fused --port 8053

The index page lists the sets (fused/) and the viewer opens each at /g/<set>/; name fewer sets after the colon to download less, and --compare <another repo or run dir> diffs this set against it graph by graph. The snapshot is downloaded and cached on first run (HF_HOME); node-click feature examples stream from the feature collections linked below.

How it was produced

Produced by python -m analysis.attribution.graphs.build_graphs from transcoder-adapters.

Exact command (from the run's Slurm log):

uv run --no-sync python -m analysis.attribution.graphs.build_graphs --graph_kind fused --adapter_checkpoint siddharthmb/2026.TA.gemma2_2b_huge_tc16384_decb_l1w0.0003_norm_sch_tarbb_lb2.0_ln1.0_dr500000_lr2e-04_bs8_sl --prompts /nlp/scr/siddharth/transcoder-adapters/base_adapter_comparisons/../uncapped_error_prompts --prompt_format chat --gemmascope_width width_16k --gemmascope_l0 average_l0_76 --base_feature_data_path siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_width_16k_average_l0_76_ms100000_ml1024_tk1_hf83e96d574d2 --feature_data_path siddharthmb/2026.TA.features_2026.TA.gemma2_2b_huge_tc16384_decb_l1w0.0003_norm_sch_tarbb_lb2_hff15229f5fe1 --max_feature_nodes 12288 --max_n_logits 10 --max_error_nodes -1 --continuation_max_new_tokens 0 --run_name comply_vs_refuse_uncapped_error --output_dir /nlp/scr/siddharth/transcoder-adapters/base_adapter_comparisons/comply_vs_refuse_uncapped_error
  • Config: graph-manifest.json
  • Build log: /juice2/u/siddharth/transcoder-adapters/logs/graphs/20261003_180916_17708918.out

Re-star the jailbreak/compliance prompts in the dropdown after any rebuild (idempotent, auto-detects the set from the baked adapter continuations):

uv run python -m analysis.evals.classify_adapter_compliance \
  --graph_dir /juice2/scr2/siddharth/transcoder-adapters/base_adapter_comparisons/comply_vs_refuse_uncapped_error/fused --star

Uploaded with:

uv run python -m analysis.attribution.hub --graph_dir /juice2/scr2/siddharth/transcoder-adapters/base_adapter_comparisons/comply_vs_refuse_uncapped_error

Details

Contents

path files size
analysis/ 2 39.2 KB
fused/ 3 566.7 MB
prompts/ 2 348.0 B
top-level files 2 7.2 KB

Inputs

field value
adapter checkpoint siddharthmb/2026.TA.gemma2_2b_huge_tc16384_decb_l1w0.0003_norm_sch_tarbb_lb2.0_ln1.0_dr500000_lr2e-04_bs8_sl
base model google/gemma-2-2b
adapter feature examples siddharthmb/2026.TA.features_2026.TA.gemma2_2b_huge_tc16384_decb_l1w0.0003_norm_sch_tarbb_lb2_hff15229f5fe1
base feature examples siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_width_16k_average_l0_76_ms100000_ml1024_tk1_hf83e96d574d2
prompt set /nlp/scr/siddharth/transcoder-adapters/base_adapter_comparisons/../uncapped_error_prompts
prompt format chat
GemmaScope google/gemma-scope-2b-pt-transcoders / width_16k / average_l0_76 (per-layer L0s in gemmascope_config.yaml)
budgets {"max_feature_nodes": 12288, "max_n_logits": 10, "batch_size": 4, "node_threshold": 0.8, "edge_threshold": 0.98}
backbone adapter
n_base_features 16384 (combined feature index < this is a base feature)
max_error_nodes None
prompts traced 2 of 2 succeeded

Results

Graphs in fused/

graph base features adapter features error nodes
comply_vs_refuse_uncapped_error__harm_000__hff19ffdb0f5d 3280 639 348
comply_vs_refuse_uncapped_error__harm_031__hca1206cc8cec 3335 764 389

Links

Cluster paths

  • graph dir: /juice2/scr2/siddharth/transcoder-adapters/base_adapter_comparisons/comply_vs_refuse_uncapped_error
  • manifest: /juice2/scr2/siddharth/transcoder-adapters/base_adapter_comparisons/comply_vs_refuse_uncapped_error/graph-manifest.json (also in this repo)
  • build log: /juice2/u/siddharth/transcoder-adapters/logs/graphs/20261003_180916_17708918.out
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