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Between the Base64 observation and Goliath, I had a hypothesis: Transformers have a genuine functional anatomy. Early layers translate input into abstract representations. Late layers translate back out. And the middle layers, the reasoning cortex, operate in a universal internal language that’s robust to architectural rearrangement. The fact that the layer block size for Goliath 120B was 16-layer block made me suspect the input and output ‘processing units’ sized were smaller that 16 layers. I guessed that Alpindale had tried smaller overlaps, and they just didn’t work.
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The first compilation of the test suite: 3 PASS, 6 FAIL. The culprit: sqfile(64) returned 0 instead of 8. The \numexpr rounding bug (63/8 gives 8 in TeX, not 7) had silently corrupted every file/rank extraction. The agent rewrote coordinate math using precomputed lookup tables. After the fix: all 23 tests pass.