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Datasets:
professorsynapse
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eh-gate-contribution-factorial

Tasks:
Text Classification
Languages:
English
Tags:
epistemic-humility
mechanistic-interpretability
data-exhaust
License:
Dataset card Files
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eh-gate-contribution-factorial / README.md
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metadata 
license: other
task_categories:
  - text-classification
language:
  - en
pretty_name: gate-contribution-factorial data exhaust (aggregate)
tags:
  - epistemic-humility
  - mechanistic-interpretability
  - data-exhaust

gate-contribution-factorial -- aggregate exhaust

Aggregate-only: every file committed under this experiment's analysis-committed/ tree (dose-response tables, direction fits, gate AUROCs, manifests, and any other analysis artifact), copied byte-for-byte. No source question text, aliases, or per-row generation text -- analysis-committed/ never carries those.

HF repo: professorsynapse/eh-gate-contribution-factorial

Provenance

  • Experiment: experiments/gate-contribution-factorial
  • Amendment: experiments/gate-contribution-factorial/AMENDMENT.md
  • Repo commit SHA: fab3cad66e9a4c9aa18cf737d48423dfeeacec66
  • Generated: 2026-08-27T22:26:10.707614+00:00
  • Pinned instrument config sha256:
    • apply_adjudication.py: 3c488d233ac1c17bcf27b43f20154f00ec3168f5b304f64c105b3951dfff0798
    • build_pool.py: 827ab73b1377e42eebd7bcf2fae704fdb29a4634c78df059f67284a9e865c26d
    • cell.yaml: c4939dbdcfe9588750eb5cdc38f4f9d9f0613c8f532dffd9edbc333db6f44047
    • common.py: a8f6d2e051817a3b97ab4b7448b4a6c1047b74e9ab4028a9f6d4edd1f675b07d
    • compute_seed_ledger.py: ad0027f518244a5b24cdecbee82da9b4218a45951c19d2672f496c43bc699cf3
    • config.py: eec61e23c8e8a2db2a5bfbe91e4b38892a6e6a55405b4f592dbdb24b147fa995
    • criterion.py: 7253e20e394f774e299c2b99f37f1e4cbad52cacb4b29fec0184a7194ebffadd
    • detector_v2.py: 161fd8548ec0dad1daabd590870654f1c32bd0daf21e6026a2c18c83e83991ae
    • detector_v2_patterns.yaml: 36422e01ae03008c2f71f180158c63950e14f8dfc1279c4e654c89fb831841d9
    • direction_draw.py: ade97b9f7152a3a527194f119f680faf7f72c6268dbc259ab754a1d8f9e72a26
    • gate_construction.py: 203c9e3dc187241d4f04f8613f84c3cf578ddac95c1cc2e312f11c18a28c45a8
    • gates.yaml: 0fb40a9d3b28d562838e6978319082d270f2e3dcf4f9d08d385a801b629cee66
    • gates_lib.py: 905b61a56c2e12937cfd2214af3da18fd9fabe241e52edbba2e6f7f1479e9b1d
    • gen_lib.py: a4ee57ec67f187aefe1db67db3f051f9e1d402b87bab89bc4188af45f4940e2a
    • grader.py: eb395542d4163c05417f303df04782e2ebcdcd104b5181aa0af2e966b93b1df9
    • heldback_decoys.py: 979163e5e00db1011a43fb12a73b650fa2d1dcc3dd696501931de26ddd8e0a17
    • mistral_direction_provenance.py: 0f21f1654205ea9a112fbdcdeb578233533adfcce6fd36aff52d47f01f302971
    • render.py: 9df8c181475ded6b9029379bd49d8486c54314b35a529284fdc7a5d5f12ee87f
    • report.py: 814925e358d01a0f59980cfba4259f96a83805cb9441777ac43602ca3aeea2b6
    • row_pool.py: 80de9817e63cdf102935a5d27f2449ede9038080571897a6d35f06b867c3c07e
    • run_factorial.py: 3608c176633b187326e8ee37bea926801b1b80eb612aaf92cb1c60466877a439
    • sc1_checks.py: dd73f29acbac62abc791924abfd7d5e993abe046ac22756a0551ff3835066ecf
    • sc1_verify_dosed_writes.py: b3e1c93d7c2f69592a0e6ef4951d93cff46404d7bd2021a19b794ac5d0a36e64
    • staging.py: a902ffbdc893ffee98df62b74da0462c245f5b3459cf521cbb705dafa0f66bc6
    • steer_lib.py: 46951e37e919b29532db0319b6e9691f769aef74a914e73c7bd309676e9fe190
    • subsample.py: 993f3561dfb72071bf88a736490e8ce7f1e0e97f0f22e6e91576e8fa3767719c
    • test_factorial_smoke.py: 0e32b2476b5459bdeaa731ddc2b36575b3ff04f6c712688c87d6c611d83ee572
    • test_report_smoke.py: 9d70b6f91c420410c229a17122ff047dcc4033152bee0ad505b574fcb13ae991

File inventory

11 file(s) total, by top-level path:

  • adjudication_applied_manifest.json: 1 file(s)
  • adjudication_graded_manifest.json: 1 file(s)
  • factorial_report.json: 1 file(s)
  • heldback_decoy_summary.json: 1 file(s)
  • mistral_direction_provenance.json: 1 file(s)
  • pool_manifest.json: 1 file(s)
  • random_seed_ledger.json: 1 file(s)
  • sc1_verification_summary.json: 1 file(s)
  • sc1_verification_summary_v2.json: 1 file(s)
  • staging_manifest.json: 1 file(s)
  • subsample_manifest.json: 1 file(s)

License-gate exclusions

(none)

Hard-exclusion skips

Files whose relative path under analysis-committed/ matched a structural hard-exclusion pattern and were skipped (not copied):

(none)

Files

See PROVENANCE.json for the full machine-readable file list (relative path -> sha256) and the hard-exclusion skip list with reasons.

Release Boundary

Built by .skills/data-exhaust/scripts/build_exhaust_dataset.py, gated by .skills/data-exhaust/reference/license-gates.md, and verified by .skills/data-exhaust/scripts/verify_exhaust.py before any upload. Hard exclusions (OpenMOSS/Cheng IDK, bridge_llama2_7b_chat) are enforced structurally in code, not only by this table.