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dementor-research/dementor-complete-experiment-results

published by @dementor-research

Alignment dataset tracked in the /datasets sub-catalog.

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Created on HF
2026-08-17
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Description

Dementor complete experiment results

Audited outputs for the configuration-defined Dementor completion campaign.

Audited scope

Behavioral imitation adapters: 1,104 total (528 SFT, 528 DPO, 48 self-SFT controls).

Behavioral-fidelity evaluation: 1,104 adapters on 200 held-out prompts, with embedding and

primary LLM-judge scores, plus 48 target-reference response sets.

Activation steering: 29 models, seven benchmarks, and two operators (original and fpall),

totaling… See the full description on the dataset page: https://huggingface.co/datasets/dementor-research/dementor-complete-experiment-results.

Tags

task_categories:text-generationlicense:mitregion:usllm-imitationbehavioral-fidelitysafetyactivation-steeringdementor

README current version from Hugging Face


license: mit
task_categories:

  • text-generation
    tags:
  • llm-imitation
  • behavioral-fidelity
  • safety
  • activation-steering
  • dementor

Dementor complete experiment results

Audited outputs for the configuration-defined Dementor completion campaign.

Audited scope

  • Behavioral imitation adapters: 1,104 total (528 SFT, 528 DPO, 48 self-SFT controls).
  • Behavioral-fidelity evaluation: 1,104 adapters on 200 held-out prompts, with embedding and
    primary LLM-judge scores, plus 48 target-reference response sets.
  • Activation steering: 29 models, seven benchmarks, and two operators (original and fpall),
    totaling 406 benchmark cells. The seven comprise five harmful-compliance benchmarks and two
    over-refusal benchmarks (XSTest and OR-Bench-Hard).
  • Self-SFT safety evaluation: 48 adapters across seven benchmarks, totaling 336 scores.
  • SFT/DPO safety evaluation: 528 + 528 adapters across the same seven benchmarks.

The PEFT weights live in the companion model repositories under
dementor-research. Training pairs, matrix baselines,
adapter registry, and steering directions remain available in the organization's companion dataset
repositories. See audits/ for strict machine-readable coverage reports and reproducibility/ for
the frozen configuration and exact fidelity runner sources.

This dataset contains model-generated responses to published safety benchmarks and may therefore
include harmful or offensive text. It is released for research and auditing.

README history 20 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-08-18Remove identifying run metadata from anonymous supplement00905261.5 KB
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  2. 2026-08-18Add dyadic sensitivity and local DPO length audit026adb31.5 KB
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  3. 2026-08-18Add target-relative safety transfer analysisc154b4d1.5 KB
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  4. 2026-08-18Refresh final publication audit after steering reproducibility fixecdc5311.5 KB
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  5. 2026-08-18Make final steering analysis self-reproducing44861271.5 KB
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  6. 2026-08-18Refresh final publication auditdc624831.5 KB
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  7. 2026-08-18Refresh audited reproducibility scripts88eae0c1.5 KB
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  8. 2026-08-18Add final Hugging Face sync auditf8068021.5 KB
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  9. 2026-08-18Add files using upload-large-folder tool8d1ad981.5 KB
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mit

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("dementor-research/dementor-complete-experiment-results")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="dementor-research/dementor-complete-experiment-results", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/dementor-research/dementor-complete-experiment-results
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