RFD3
PDB structure in, partial-diffusion trajectory activations out. Requires pre-folded structures.
download → build_inputs → collect → train → eval → screen → steerRFD3 uses partial diffusion: the input structure is noised to partial_t Å and denoised, conditioning activations on the structural context of the input.
| Hook | Module path | Collection |
|---|---|---|
token_initializer_outputs | token_initializer.process_s_init | static (once) |
block6 | diffusion_module.diffusion_transformer.blocks.6.transition_block | every 5 steps |
block8 | diffusion_module.diffusion_transformer.blocks.8.transition_block | every 5 steps |
block12 | diffusion_module.diffusion_transformer.blocks.12.transition_block | every 5 steps |
Hooks config: hooks=rfd3_partial
partial_t
| Value | Effect |
|---|---|
| 1–4 Å | Near-native; activations stay close to input |
| 5 Å | Default — good signal/noise balance for classification |
| 8–10 Å | High noise; more design-like behavior |
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