Attention probing can serve as an efficient tool for detecting performative reasoning and enabling adaptive computation in reasoning models

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• Attention probes for belief decodingconcept0.821
• can activation probing enable efficient adaptive computation by detecting when a model's belief has stabilized during CoT generation?question0.799
  Practical question addressed by the probe-guided early exit experiments
• A probe may achieve high performance even on representations that are not causally relevant for the taskclaim0.793
  Key interpretive claim from Case Study II distinguishing probe accuracy from causal relevance
• How can mechanistic interpretability methods automatically identify attention computations that span multiple attention heads?question0.777
  Long-standing bottleneck in mechanistic interpretability that VPD addresses by working natively on attention weight matrices.
• The field of interpretability has focused mainly on understanding model activations, not the computations themselvesclaim0.760
  Motivation for VPD's parameter-focused approach.
• attention computationconcept0.757
  Process using Q, K, V to compute a heat map over K and weighted sum of V.
• Introspection relies on general-purpose computational mechanisms—attention-based anomaly detection and residual stream dynamics—rather than specialized introspection circuitsclaim0.752
  Interpretive claim about the mechanistic substrate of introspection in LLMs
• Stating and proving that answers to questions and other statements are responsive seems to require a substantially larger logical apparatus than merely proving that the answers are truthful.claim0.749
  Claim about the difficulty of responsiveness verification.