CRISP: Persistent Concept Unlearning via Sparse Autoencoders

Tomer Ashuach, Dana Arad, Aaron Mueller +2

As large language models (LLMs) are increasingly deployed in real-world applications, the need to selectively remove unwanted knowledge while preserving model utility has become pa…