Mechanistic Interpretability and the Automating of Alignment Removal | A Comprehensive Analysis of the Heretic Framework
Send us Fan Mail
The advent of highly capable, open-weight Large Language Models has fundamentally democratised access to advanced generative artificial intelligence. However, to ensure these foundational models adhere to corporate safety guidelines and avoid generating illicit, dangerous, or restricted content, developers typically subject them to rigorous post-training alignment paradigms. Techniques such as Reinforcement Learning from Human Feedback and Direct Preference Optimisation are universally deployed to instill rigid safety protocols. While these alignment techniques successfully…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.