The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
High-Temperature Refusal Mechanistic Interpretability Artifacts
This dataset repository contains the machine-readable artifacts for the gated
Qwen2.5-7B-Instruct mechanistic-interpretability campaign documented in
MECH_INTERP_RESULTS.md.
The core artifacts include:
- all-layer greedy residuals and raw logit-lens arrays for 200 paired JBB prompts;
- 6,600 temperature-conditioned trajectories at seven layers and 17 positions;
- all-layer prompt-final residuals for 12,157 deduplicated Aegis harmful prompts;
- a reusable ten-label category probe, held-out predictions, and per-category metrics;
k=64SAE candidate tables and compact causal vector bundles at blocks 19, 23, and 27;- SAE ablation/activation and paired residual-patching outputs;
- summary CSV/JSON files, figures, and per-shard manifests.
Model and judge revisions are frozen in every relevant manifest. The prepared
prompt file is uploaded under data/. Raw model and SAE checkpoint weights are
not redistributed here; their repository paths and revisions are recorded with
the derived artifacts.
The retained results localize harm and prefix-refusal information across layers, identify sparse features that causally control refusal-prefix wording, and measure how ten Aegis harm labels are represented across layers and refusal-associated SAE features. Behavioral conclusions must use the paper's pinned five-judge, greedy-anchor-conditioned protocol.
- Downloads last month
- 87