Seonglae ChoAmbitious Mechanistic Interpretability from Leo Gao
Short-term, outcome-focused pragmatic interpretability risks optimizing for superficial signals, making it hard to understand why failures occur in the long run and leaving systems fragile. The strength of AMI lies in achieving debugger-level internal understanding that clearly distinguishes between hypotheses and offers knowledge that may generalize even to radically different future AGI systems. Recent research has successfully identified much simpler and more interpretable circuits than in the past (e.g., IOI) by leveraging circuit sparsity.
