TADA Steering Collection
Collection
Steering vectors, SAEs, and counterfactual prompts for ACE-Step. Companion to the audio-interv unified Controller interface. β’ 87 items β’ Updated β’ 2
Sparse autoencoder trained on ACE-Step cross-attention activations.
TADA! Tuning Audio Diffusion Models through Activation Steering β https://huggingface.co/papers/2602.11910
from src.steering.methods.sae.lib.sae.sae import Sae
sae = Sae.load_from_hub(
"lukasz-staniszewski/ace-step-sae-tf7-cross-attn",
hookpoint="transformer_blocks.7.cross_attn", device="cuda",
)