Anthropic's interpretability series praised: residual stream, ICL, superposition
burny_tech · x · 2026-11-07
A recommendation post for Anthropic's interpretability research series, calling it excellent. It covers what flows through the residual stream, how in-context learning emerges, and how features get packed into fewer dimensions (superposition). The attached screenshot shows the Transformer Circuits Thread page with recent pieces like 'Verbalizable Representations Form a Global Workspace in Language Models'. A good entry point for mechanistic interpretability newcomers.
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