GPT-4 neuron explanations fail rigorous observational and intervention testing
burny_tech · x · 2026-10-25
A link post for the same paper "Rigorously Assessing Natural Language Explanations of Neurons" (arXiv:2309.10312); see the companion post for details: under observational and intervention evaluation modes, GPT-4-generated explanations of GPT-2 XL neurons show high error rates and little causal efficacy.
Related event: GPT-4's Explanations of Neurons Fail Rigorous Causal Assessment(2 posts)→
More from Research
- Molecular Cell review maps emerging frontiers of AI in single-cell genomics — anshulkundaje · 2026-10-25
- Harvard's Zitnik lab unveils CONCERT, a generative model for spatial perturbation responses — marinkazitnik · 2026-10-25
- Sander Dieleman's 84-minute deep dive: flow maps learn the integral of diffusion models to speed up sampling — sedielem · 2026-10-25
- AI science loops have too much textbook, not enough Newton-style curiosity — generativist · 2026-10-25
- Stanford's Finn lab proposes Generative Value Classifier, recasting Q-learning via action likelihoods — chelseabfinn · 2026-10-25
- Economist: skeptics were right about AI growth, bottlenecks still misunderstood — Afinetheorem · 2026-10-25