method
active
method:agentic-self-steering-emotionality-evaluationAgentic Self-Steering Emotionality Evaluation
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
Neighborhood — ranked by edge-count
Papers (1)
paper
Findings (1)
finding
- Agentic self-evaluation emotionality correlates with SAE feature persistence: rho=+0.124, p=0.0001introducesShows that features Kimi rates as more emotional via self-steering are more persistent, independent of probe construction
Communities (1)
community
- LLM Introspectionimplements
Concepts (1)
concept
- Feature Loopingassociated_withRepetitive behavioral pattern observed under high steering strengths in SAE feature self-steering experiments
Methods (1)
method
- Agentic self-steering evaluationrelated_toMethod where Kimi K2.5 steers its own SAE features in real time and reports on its internal emotional state
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.
- Forward-looking claim about the broader utility of the self-steering evaluation method
- Forward-looking claim about the potential of model introspection as an interpretability tool
- If agentic self-steering evaluation proves robust, it might be used to better explain and interpret SAE features in generalhypothesis0.827Speculative claim about scaling introspective access to general SAE feature interpretation
- Interprets the near-zero correlation between the two evaluation methods as evidence they capture distinct signals
- Shows that model self-report of emotion predicts long-range feature persistence
- Identified methodological gap in interpreting the self-evaluation experiment results
- Finding that the two evaluation modalities frequently diverge in their interpretation of the same SAE feature
- Surprising finding that the two evaluation methods diverge in their relationship with persistence