Training a small secondary sparse autoencoder on the reconstruction error of a pretrained SAE improves domain-specific reconstruction and language-model perplexity without hurting general performance.
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Teach Old SAEs New Domain Tricks with Boosting
Training a small secondary sparse autoencoder on the reconstruction error of a pretrained SAE improves domain-specific reconstruction and language-model perplexity without hurting general performance.