readme.md « shakespeare « data - jspace-nanogpt.git - J-space on nanoGPT: Jacobian Lens replication & critique. J-lens norms anti-correlate with token frequency (r ~ -0.61 to -0.69); frequency-matched synthetic pair + causal loss-reweighting tests.

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# tiny shakespeare

Tiny shakespeare, of the good old char-rnn fame :)

After running `prepare.py`:

- train.bin has 301,966 tokens
- val.bin has 36,059 tokens