Neuralyzing the Trace: Selective Representation-Level Unlearning with Contrastive Sparse Autoencoders

Machine unlearning aims to remove targeted information while preserving a model's other abilities. In realistic settings, such as privacy requests under the EU GDPR, the target may be narrow, for example information associated with a single person. Behavioral forgetting alone may be insufficient, mo