claim
active
claim:agentic-self-evaluation-and-self-steering-may-scale-to-broadly-interpret-and-understand-internal-representations-and-sae-featuresAgentic self-evaluation and self-steering may scale to broadly interpret and understand internal representations and SAE features.
Forward-looking claim about the potential of model introspection as an interpretability tool
Source paper
extracted_fromScott Sauers · Imago · Janus · Antra Tessera
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Papers (1)
paper
Findings (2)
finding
- Shows that model self-report of emotion predicts long-range feature persistence
- Qualitative failure mode of agentic self-evaluation: the model sometimes refuses or denies the introspective task
Claims (1)
claim
- Forward-looking claim about the broader utility of the self-steering evaluation method
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- If agentic self-steering evaluation proves robust, it might be used to better explain and interpret SAE features in generalhypothesis0.899Speculative claim about scaling introspective access to general SAE feature interpretation
- Method where Kimi K2.5 steers its own SAE features in real time and reports on its internal emotional state
- Surprising finding that the two evaluation methods diverge in their relationship with persistence
- Kimi K2.5 uses a tool to steer SAE features on itself in real-time and rates the emotional effect on its own internal state 0-100
- Identified methodological gap in interpreting the self-evaluation experiment results
- Agentic self-evaluation emotionality correlates with SAE feature persistence: rho=+0.124, p=0.0001finding0.823Shows that features Kimi rates as more emotional via self-steering are more persistent, independent of probe construction
- Interprets the near-zero correlation between the two evaluation methods as evidence they capture distinct signals
- Mechanistic ambiguity in interpreting why self-steering evaluation outperforms textual evaluation
Restated by (1)
cosine ≥ 0.90Other entities that say roughly the same thing. May be merge candidates or independent restatements across papers.