Persona vectors: Monitoring and controlling character traits in language models

Introduced 'persona vectors,' patterns of neural activity within AI models that control character traits. Developed methods to extract these vectors for traits like evil, sycophancy, and hallucination. Demonstrated their use in monitoring personality shifts during conversations and training. Showcased a preventative steering technique during training, analogous to vaccination, to make models resilient to undesirable traits without performance degradation. Developed a method to predict personality changes based on training data activation of persona vectors, enabling proactive identification of problematic data.