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Calibrating Lightweight Sparse Autoencoder Feature Steering
Sparse autoencoders (SAEs) can enable inference-time topic steering by modifying latent feature activations, but existing steering methods often fail when target-aligned features are not identified or are modified at the wrong scale. We introduce \textsc{ContrastiveSteer} to address these respective
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