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question:can-language-models-genuinely-introspect-on-internal-states-or-only-confabulate

Can language models genuinely introspect on internal states or only confabulate?

Central research question animating the paper: distinguishing genuine introspection from illusion through causal manipulation of activations.

Source paper

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Emergent Introspective Awareness in Large Language Models
(2026) · Lindsey, Jack

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Thinkers (1)

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Findings (3)

finding
  • Models can detect and identify injected concept vectors ~20% of the time at optimal layer/strength in Opus 4.1, with immediacy suggesting internal rather than output-inferred detection.
  • Models maintain ability to accurately transcribe input text while simultaneously reporting on injected thoughts, all models perform above chance, Opus 4/4.1 best.
  • Models can distinguish artificially prefilled outputs from intentional responses by referencing prior internal representations; injection of matching concept vector causes model to retroactively accept prefill as intentional.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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