Localizing personalization features in Mixture-of-Experts LLMs

This method uses crosscoders on paired activations to identify specific experts in MoE models that encode personalized features. By leveraging the sparse routing of MoE architectures, the approach enables more precise control and understanding of user-centric personalization compared to dense models.