AI models may be more interpretable than previously thought

In a Goodfire essay, Cammarata calls his argument a working hypothesis. He says an earlier OpenAI project found about 2% of neurons legible with primitive tools, but newer methods paint a different picture. He argues that several famous examples of tangled neurons were misread and thinks automated research could make interpretability more tractable in time to help with AI alignment.