Coverage Audits for LLM Interpretability Claims
A Mercury methods note arguing that sparse probing, activation patching, subspace intervention, and pruning claims should report a coverage audit before making broad localization claims. The audit uses 19 fullgrid manifests and shows a 1/7 pass rate for older sparse or coarse protocols versus 12/12 for per-channel quantile dense runs.
Authors
- Ho Yiing Chen (ORCID: https://orcid.org/0009-0006-6816-9891)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-18
- DOI
- https://doi.org/10.5281/zenodo.20729124
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- preprint