Detoxifying Large Language Models via Localized Feature Editing with Sparse Autoencoders
L DeLFE, a lightweight controlled detoxification approach that identifies specific toxic features across model layers and performs targeted interventions on them, and designs three feature-level strategies that adjust intervention timing and strength to reconstruct the target model’s original activations.