Tag: Sparse Autoencoders

  • Peeking into the Neural Soul: Extracting Concepts from GPT-4

    Peeking into the Neural Soul: Extracting Concepts from GPT-4

    In the uncharted territory of artificial intelligence, understanding the inner workings of systems such as GPT-4 is paramount. OpenAI’s recent exploration into extracting high-level concepts from GPT-4 represents a leap towards demystifying these complex models. This method involves using sparse autoencoders to identify and interpret features within the model, thereby making the intricate processes more…