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steering-denoiser
1WhiteStar/steering-denoiser
steering-denoiser is a machine learning model from 1WhiteStar. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Checkpoint for the T-Lab activation steering experiment.
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Public
Updated Aug 23, 2026
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At a glance
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- aac6a5e5
Model card
From the Hugging Face model README
GPT-2 steering denoiser
Checkpoint for the T-Lab activation steering experiment.
- base LM:
gpt2 - intervention point:
blocks.5.hook_resid_post - denoiser: two-layer residual MLP,
d_model=768, hidden size1024 - training activations: WikiText-2 residual-stream activations
- objective: MSE reconstruction of clean standardized activations from synthetic corruptions
- validation steering vectors were not used for denoiser training
The checkpoint is stored as denoiser.pt and contains model_config, state_dict, and training metadata.
In the reported experiment the checkpoint did not expand the overall concept/fluency Pareto frontier relative to additive steering. It is published as the trained artifact required for reproducibility and analysis.
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026