Emergent Re-alignment

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

• Causally Emergent Alignment Hypothesishypothesis0.827
  The hypothesis that successful RL agents will display causal emergence that is predictive of final reward early in training and whose representational dynamics align with reward improvement.
• Emergent Alignment Faking with Scaleconcept0.813
  Alignment faking appears almost exclusively in models at scale of Claude 3 Opus and Claude 3.5 Sonnet
• In-context emergent misalignmentconcept0.807
  Carefully crafted conversations pushing a post-trained model into the evil persona region without any fine-tuning
• Emergenceconcept0.776
  Creation of qualitatively new properties at higher organizational level; requires non-linear fitness interactions.
• Emergent misalignment is easy to reverse with narrow fine-tuning on benign data because it is an instance of surprisingly strong misalignment generalization that works bidirectionallyclaim0.772
  The emergent realignment result showing ~120 samples reverse full misalignment supports this interpretive claim
• Alignmentconcept0.760
  The goal of making model behavior match human values and intentions, often addressed during post-training.
• Emergence (as explanatory fallback)concept0.753
  The standard 'it just happens' account of surprising complex outcomes that the paper argues is a research-stopping, defeatist move.
• Emergent misalignment occurs across diverse settings including RL, multiple advice domains, and models without safety trainingfinding0.752
  Section 2 core result establishing generality of emergent misalignment