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analyze: thread full model/training/rollout/dataset params to plots
giant rollout now writes the checkpoint's complete model_config (incl.
the router sub-dict), the sibling config.toml's [train]/[meta] sections,
and every rollout CLI knob (weights, batch_size, escape_threshold,
n_events, device, seed) into the YAML sidecar instead of a hand-picked
subset. All of it flows through run_meta.json into each plot's own
metadata.yaml for later comparison, while the figure subtitle itself
shows a curated slice (hidden_dim, n_blocks, mode, conditioning, router,
epoch, best_val_loss, steps/noise_dim) via new_figure's params option.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-27 13:35:02 +02:00
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