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That changed thanks to Evan Maunder, who ran a beautifully simple experiment after reading Part 1. He fed three semantically identical sentences through a model — one in English, one in Mandarin, one encoded as Base64 — and measured the cosine similarity of their hidden states at every layer. The results showed exactly the three-phase structure: rapid convergence in the first few layers (encoding), near-perfect similarity through the middle (reasoning in a format-agnostic space), and divergence in the final layers (decoding back to surface form).
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