Glassbox

Small models, narrow tasks. Trained from scratch, under 100M parameters, each doing one thing.

restorer-interp-lab.iksnerd.workers.dev — a live interpretability lab: watch the models think, one forward pass at a time.

Every number behind them is reproducible: bg-eval re-runs the published results from the checkpoints alone, with no dependency on this project's training code.