Add QK-norm toggle, TinyStories prep and automatic run logging
nanoGPT gets a qk_norm flag (off = upstream behaviour), a seed option and a resolved-config dump. run.py logs each run's git commit, config, data checksums, environment and metrics, and stops diverged runs. Claude-Session: https://claude.ai/code/session_01S8KN7NuUCm8nXLmy6eDuVv
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@@ -29,7 +29,7 @@ __pycache__/
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.venv/
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# Experiment data, checkpoints and raw outputs (run metadata in runs/ IS tracked)
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06-experiments/data/
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06-experiments/data/*/
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06-experiments/vendor/
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06-experiments/runs/*/ckpt.pt
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06-experiments/runs/*/stdout.log
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