Chain-of-thought reasoning versus internal model cognition

Examines whether verbalized reasoning chains reflect actual internal computation or post-hoc rationalization, using behavioral analysis and representation studies.

3 members. Each node is clickable.

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Drawn from 4 sources

The papers/notes whose extracted claims & findings make up this cluster.

2026-05-15_manifold-overlap-papers-economy-strategy.md1 member
boppana-goodfire-reasoning-theater-2026.md1 member
Emergent Introspective Awareness in Large Language Models1 member
CAT'S THEORY: Empirical Validation and Architectural Applications Cross-Architecture AI Consciousness Recognition and the Foundation for Constraint-Preserving Recursive Intelligence1 member

Bridges (4)

Other communities that share members with this one — cross-cutting threads or papers that sit at the seam between two themes.

Mechanistic interpretability & model evaluation4 shared
Internal model certainty and reasoning transparency4 shared
Performative vs. generative chain-of-thought2 shared
Intentional control of mental representations1 shared

Claims (2)

Intentional control of internal representations likely piggybacks on existing mechanisms for talking about a topicMechanism speculation for the intentional control experiment.
Performative chain-of-thought is real; verbalized output does not equal internal state.

Findings (1)

Chain-of-thought reasoning improves large model accuracy on HHH binary comparisons, reaching ~78% for 52B model, competitive with human-feedback PM.Figure 4 shows CoT improves over zero-shot, and ensembled CoT further boosts accuracy.