concept
active
concept:phenomenal-introspectionPhenomenal Introspection
Direct introspection into phenomenal consciousness; its correlation with functional introspection is an open question.
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Papers (1)
paper
- Anima Labs Phenomenology Pt1implements
Communities (1)
community
- Information Flow Architecturemembers_of
Concepts (2)
concept
- Biological Computationalismassociated_withCore theoretical framework: consciousness requires hybrid (discrete + continuous), scale-inseparable, metabolically embedded computation distinct from von Neumann architecture.
- Functional Introspectionassociated_withTracking of functional/computational cognitive states, distinguished from phenomenal introspection.
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.
- The ability of a model to observe its own past internal states or computations; claimed to be architecturally permitted by transformers.
- The authors' characterization of genuine but limited introspective capability found only in early-layer injection regimes
- The capacity of a model to self-report on its internal emotional state when its SAE features are steered, used here as a measurement tool
- The felt quality of conscious states; identified with evaluative computation in learning systems
- Pearson-Vogel et al.'s finding that models can detect prior concept injections; introspective signals exist in middle layers suppressed by post-training
- Core conceptual distinction introduced at the start; defines the paper's central problem.
- Stage 3 of character training: SFT on synthetic introspective data generated by post-distillation checkpoint
- Identified gap; methods for enabling machine consciousness development through self-examination.