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framework:situational-awareness-dataset-sad

Situational Awareness Dataset (SAD)

Dataset and framework for evaluating LLM self-knowledge including predicting own behavior

Neighborhood — ranked by edge-count

Thinkers (1)

thinker
  • Laine, R.
    introduces
    Lead author of the Situational Awareness Dataset (SAD) for LLMs

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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

  • Model's access to information about its training objective, deployment context, and ability to distinguish training from non-training
  • The specific form of reflection studied, where a model reflects on reasoning generated by another source.
  • Ability of a model to describe its own learned behavioral tendencies.
  • Circular causality between perception and action; central to enactive interpretation
  • Measurable capacity of frontier LLMs to detect and report their own internal states, used as a downstream measure in Experiment 4
  • A dialogue agent using first-personal pronouns and expressing self-concern in ways that suggest consciousness but are actually role play
  • Happe 2003 hypothesis that humans use a single cognitive system for reasoning about mental states of self and others
  • Self Awarenessconcept0.706