maemm-uplift-acts_all

MAEMM cross-uplift arm acts_all: 100k real activations + 100k spread over the 5 other families (act-matched 'everything mixed')

Same protocol as the single-family arms: midtrain (1 epoch, lr 1e-4) on a 200k bank of 100k real activations + 20k each of SAE-feature, BSF, cluster-probe, long-context-activation and layer-42 MLP-neuron directions, from the 23M real-activation SFT init, then 100 RL steps (CISPO / ScaleRL, 128 directions × 16 samples per step, lr 1e-5). Report: http://5.78.192.0/reports/view/maemm-uplift-matrix/report.html

LoRA adapters (r 64, α 16, rsLoRA, all linear layers) of the MAEMM activation→text inverter for Qwen3.6-27B layer 42 (inject h + ||h||·v at the layer-1 marker). Code: https://github.com/ceselder/maemm. Eval = 512 held-out directions/family, best-of-4 at T=1. Subfolders are PEFT adapters: PeftModel.from_pretrained(base, repo, subfolder="<name>").

Held-out evals