Input-truth

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

• Input-Injectivityconcept0.789
  Assumption that DNN layers preserve input information by being injective; key condition for Theorem 1
• Truth Directionconcept0.780
  A hypothesized direction in LLM activation space that encodes the truth or falsehood of factual statements
• sensory inputconcept0.778
  Input from environment that the agent models and predicts.
• Insightconcept0.755
  Qualitative transition in generative model structure from Bayesian model reduction; emergence of understanding
• Propositional Truthconcept0.751
  The paper's operationalization of truthfulness as simple, unambiguous propositional statements that can be labeled true or false
• Feedbackconcept0.749
  The mechanism by which each step's effect is evaluated against the life of the whole, guiding the unfolding.
• Helpful, Honest, Harmlessframework0.749
  A set of evaluation criteria for AI assistants.
• With unrestricted vocabulary, models occasionally respond in non-English Yes/No equivalents (e.g., Sí, Nein) after truth-direction interventionsfinding0.737
  Suggestive evidence for language-independent truth representation in LLMs