RESEARCHMonitorWATCHLIST
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers evaluate calibration methods for activation oracles that translate LLM internal states into natural language for auditing.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 23 October 2026
- Collected by OneBench
- 4 Aug 2026, 13:23 UK
Stored source excerpt
arXiv:2605.26045v2 Announce Type: replace Abstract: An activation oracle is a language model trained to read another model's internal activations and describe them in natural language,…
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