Full article on https://www.talkingtoclaude.com/
Abstract
This paper presents a critical examination of current approaches to mechanistic interpretability in Large Language Models (LLMs). I argue that prevalent research methodologies, particularly ablation studies and component isolation are fundamentally misaligned with the nature of the systems they seek to understand.
I suggest a shift toward observational approaches that study neural networks in their natural, functioning state rather than through destructive testing would be more constructive.
I suggest a shift toward observational approaches that study neural networks in their natural, functioning state rather than through destructive testing would be more constructive.
Aka I am totally anti LLM lobotomy!
..please visit my Substack for the full article..
https://www.talkingtoclaude.com/p/rethinking-mechanistic-interpretability
