Search papers, labs, and topics across Lattice.
Affiliation:
1
0
2
9
Reinforcement learning with sparse autoencoder features (RL-SAE) unlocks precise, interpretable, and composable design of intrinsically disordered protein regions, activating 90% of targeted functional features compared to 24% with activation steering.
