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method:introspection-stageIntrospection Stage
Stage 3 of character training: SFT on synthetic introspective data generated by post-distillation checkpoint
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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
- Pearson-Vogel et al.'s finding that models can detect prior concept injections; introspective signals exist in middle layers suppressed by post-training
- The central concept: the ability of a model to access and report on its internal states, as defined by the paper's criteria.
- Identified gap; methods for enabling machine consciousness development through self-examination.
- Key gap identified in the literature; systematic self-examination processes for machine consciousness development.
- The capacity to detect and report one's own internal states, measured via the five-adjective task and paradox reflection