AINeutralarXiv – CS AI · Jun 96/10
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Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
Researchers have developed a method to detect emergent misalignment in large language models during finetuning by monitoring internal representational shifts rather than relying solely on behavioral evaluation. The technique identifies dangerous model behavior through a low-dimensional geometric signature in activation space, achieving high detection accuracy with minimal computational overhead.