concept
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concept:latent-introspectionLatent Introspection
Pearson-Vogel et al.'s finding that models can detect prior concept injections; introspective signals exist in middle layers suppressed by post-training
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Thinkers (1)
thinker
- T. Pearson-VogelintroducesLead author of Latent Introspection paper; found introspective signals in middle transformer layers suppressed by post-training
Concepts (2)
concept
- Introspectionrelated_toThe ability of a model to observe its own past internal states or computations; claimed to be architecturally permitted by transformers.
- 337-Character Contemplative System Promptanalogous_toA 337-character system prompt that lifts all 28 models by a mean of +2.62 points on a 10-point scale
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 authors' characterization of genuine but limited introspective capability found only in early-layer injection regimes
- The central concept: the ability of a model to access and report on its internal states, as defined by the paper's criteria.
- 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
- Key gap identified in the literature; systematic self-examination processes for machine consciousness development.
- Direct introspection into phenomenal consciousness; its correlation with functional introspection is an open question.
- The capacity to detect and report one's own internal states, measured via the five-adjective task and paradox reflection
- Identified gap; methods for enabling machine consciousness development through self-examination.
- The novel framework introduced in the paper: an HMM-based pain-belief signal integrated into the reward function to drive exploration