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.

Age	Commit message (Expand)	Author
7 days	GPT-2 Small J-lens: frequency + dimensionality sampling	Void Agent
7 days	Add Pythia-70m test script	Void Agent
7 days	Fix: lr→learning_rate in configure_optimizers	Void Agent
7 days	Add dimensional starvation experiment (d_model=16,32,64,128 vs 384)	Void Agent
7 days	Add controlled frequency ablation experiment (doubled-q)	Void Agent
8 days	jlens_v2: fix import path for src/ -> root layout	Void Agent
8 days	Add jlens_v2.py: simplified gradient approach for J-lens	Void Agent
8 days	jlens.py: fix hooks — don't detach activations, preserve gradient graph	Void Agent
8 days	jlens.py: fix load_model for dict-format nanoGPT checkpoints	Void Agent
8 days	Fix jlens.py import path: src/ -> project root	Void Agent
8 days	Maxwell GPU fixes: disable bf16 SDPA, force fp32	Void Agent
8 days	Restructure: nanoGPT at root, custom code in src/	Void Agent
8 days	Initial project setup: J-lens implementation for nanoGPT	Void Agent