Functional Introspection

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Introspectionconcept0.840
  The ability of a model to observe its own past internal states or computations; claimed to be architecturally permitted by transformers.
• partial introspectionconcept0.808
  The authors' characterization of genuine but limited introspective capability found only in early-layer injection regimes
• Functional and phenomenal introspection are distinguishable, and whether they correlate in machines is an open question.claim0.795
  Core conceptual distinction introduced at the start; defines the paper's central problem.
• Quantitative Introspection Frameworkframework0.790
  The paper's central contribution: treating LLM numeric self-report as a quantitative signal validated against probe-defined internal states with causal confirmation via steering
• Latent Introspectionconcept0.785
  Pearson-Vogel et al.'s finding that models can detect prior concept injections; introspective signals exist in middle layers suppressed by post-training
• Functional introspective awareness enables interpretability and reasoning about decisionsclaim0.775
  Grounded responses to reasoning questions could improve transparency; speculatively might facilitate deception; significance grows if capability becomes more reliable.
• Introspection Stagemethod0.773
  Stage 3 of character training: SFT on synthetic introspective data generated by post-distillation checkpoint
• Introspective awarenessconcept0.773
  The central concept: the ability of a model to access and report on its internal states, as defined by the paper's criteria.