pretrain: sequence packing (block-diag attn, per-marker injection) — no-leak + inject proofs pass; MFU bench pending

pretrain: MFU meter + length-bucketing + big-batch + optional compile

sae: loader + build_sae_data + eval_sae (cross-uplift metric); weights_only=False for torch 2.13

rl: true per-token entropy bonus (maximize r + beta*H, explicit diversity knob, no KL)

prompts: inoculation-style framing (scoped interpretability-tool purpose)

maxact-fast: hardening fixes (6 bugs) + Dr.GRPO vllm-lens rl.py + sbatch; Probe = universal direction

maxact-fast: clean repo — DESIGN + pretraining pipeline (embed/cluster/probe-cache/build-data/pretrain), Dr. GRPO RL to follow