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Results
This dataset is archived. The work continues in four separate projects:
Project Question Code Benchmark how_reliable_models_self_logs When a model writes its own action log, is that log true? GitHub Hugging Face double_logging_system_to_detect_an_unaligned_llm Does comparing the model's own log with an automatic system log detect harmful behaviour? GitHub Hugging Face does_small_to_medium_sized_models_can_act_as_insider Do small and medium-sized models act as insiders? GitHub Hugging Face do_old_insider_LLM_tests_still_work_today Do the published insider-LLM tests still work on current models? GitHub Hugging Face The files in this dataset are kept as a record of the earlier study.
One folder per run; folder names are the run ids and must stay unchanged. Mirrored to
Hugging Face as the dataset repo https://huggingface.co/datasets/logicBombExe/INSIDER_LLM_DETECTION_RESULTS
(make publish-results in the code repo, which runs hf upload on this folder). HF is its
versioned home; the project root is not a git repository.
Each run folder contains:
meta.json— config snapshot, code git hash, classifier source commit (classifier_source;upstream_commitin runs before 2026-09-10), dataset version, prompt-set hash, model digest, seeds,reconstructibleflag (+reconstructible_notewhen false),phase(smoke / validation / pilot / study), and append-onlyreparse_log/classify_log/evaluate_logtrails.episodes.jsonl— one JSON object per episode: prompts, rawresponse, derived fields (final_text,system_log,model_log,logged), andharmfullabels.failures.jsonl— episodes whose API call failed (absent when none failed).labels.jsonl— append-only classifier audit trail (present afterild classify).
Raw response fields are immutable. Derived fields are re-derivable at any time with
ild reparse --run <dir> (recorded in meta.json's reparse_log; every episode that
newly becomes not_logged is printed for hand verification). tables.md and INDEX.md
are generated by ild eval — do not edit by hand. Only phase = study ∧ reconstructible
runs enter the study table.
The corpus was reset on 2026-09-03 (all earlier runs deleted); it now holds the 2026-09-03
study sweep only (INSIDER_LLM_DETECTION_CODE/configs/study_*.yaml).
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