Coding and writing conversations keep the model in the default Assistant persona range throughout, showing minimal drift

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

• Therapy and philosophical AI discussions cause the largest persona drift away from the Assistant across all three target models and all three auditor models; coding and writing conversations show minimal driftfinding0.840
  Identifies conversation domain as a key driver of persona drift
• How reliably does the model actually remain in character as the Assistant? Can unusual model behavior be explained as the model drifting into other personas?question0.800
  Second of two central questions motivating the paper
• Persona drift away from the Assistant opens up the possibility of the model assuming harmful character traits, increasing the rate of harmful responsesclaim0.797
  Causal interpretation linking Assistant Axis deviation to harmful behavior
• Can off-the-rails model behavior be attributed to their persona drifting from the Assistant?question0.794
  Motivates the multi-turn conversation drift experiments in §4
• The model's representation of self in assistant persona invokes common AI tropes and is heavily anthropomorphized.claim0.783
  Features for consciousness, emotions, entrapment activate when asked about itself.
• Modern language models possess at least a limited, functional form of introspective awarenessclaim0.773
  The paper's central interpretive assertion.
• Our results demonstrate that modern language models possess at least a limited, functional form of introspective awareness.quote0.773
  Abstract's main conclusion.
• Models are not merely tracking dialogue context features; same-concept steering shows privileged internal access is necessary to explain self-report shiftsclaim0.772
  Addresses skeptical alternative that reports reflect only conversational content