G. Rauch on new interpretability piece: simpler path may beat SOTA mech interp
yenkel · x · 2026-10-19
Vercel founder Guillermo Rauch shares takeaways from a mechanistic interpretability article arguing there may be a simpler path to understanding large neural networks that beats the current state of the art.
Key tidbits from his thread:
- Better architecture and larger networks may actually be easier to interpret
- Having access to training steps/epochs helps make sense of confusing neurons
- Neurons act as "control flow" for later layers — they may fire not for "nouns" but for "verbs" (e.g. "don't add a dot next")
- The article includes a full map of an image network
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