Interpret and Control Dense Retrieval with Sparse Latent Features

Hao Kang, Tevin Wang, Chenyan Xiong

Dense embeddings deliver strong retrieval performance but often lack interpretability and controllability. This paper introduces a novel approach using sparse autoencoders (SAE) to…