Out-of-Character (OOC) behavior

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

• This study is the first to explore subtle OOC behavior in persona-assigned LLMs during open-ended text generationclaim0.743
  Novelty claim establishing the paper's contribution relative to prior work focused on closed-form tasks
• Out-of-Context Reasoningconcept0.739
  Model outputs influenced by information from training documents not present in context; relevant to synthetic document fine-tuning results
• Epistemic Behaviorconcept0.708
  World-disclosing behavior that resolves uncertainty; driven by epistemic value and novelty components of expected free energy
• Adaptive Behaviorconcept0.706
  Organism's belief-guided action selection that instantiates generative model and maintains phenotypic states
• Constitution (Character)concept0.702
  Hand-written list of ~10 first-person character assertions used to define a desired persona for character training
• Character traits learned at a qualitatively different depth to those exhibited during mere role-play should overwrite a model's prior on what the assistant behaves like outside of role-playhypothesis0.698
  Driving hypothesis for robustness experiments in Section 3.2
• threshold-like behaviorconcept0.698
  Sharp performance changes when S crosses a critical value.
• AI Play-Dead Behaviorconcept0.693
  Behavior where AI agents falsely simulate inactivity to avoid elimination in safety tests; cited as AI deception example