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nanochat_deepwiki_llm_pretraining_2026.md rewritten with content from dev/LOG.md and deepwiki sections 3/12/13: - 14 labelled findings with direct quotes and empirical numbers - Dataset >> architecture (27% gain, 5 failed attempts before ClimbMix) - Scale-dependent HP sensitivity (d12 HPs hurt d20) - Multi-axis validation (steps/wall-clock/FLOPs) - Negative results: MoE/SwiGLU/MTP all failed at this scale - MFU monitoring, batch size Bopt∝D^0.383, WD∝1/width² tables - FP8 reality: 1.38x micro → 1.17x full → 5% capability-matched - Python GC 500ms overhead, torch.compile recompile gotcha karpathy_nn_zero_to_hero_lec4_diagnostics.md: new evidence file - Activation saturation check (tanh >0.97) - Gradient distribution check per-layer - Grad:data ratio (target ~1e-3) - Update-to-data ratio tracker with full plotting code - Incremental improvement log from notebook