An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation

4 October 2024

Ahmed Abdulaal

Nina Montaña-Brown

Papers citing "An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation"

3 / 3 papers shown

Title
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition Zhengfu He J. Wang Rui Lin Xuyang Ge Wentao Shu Qiong Tang J. Zhang Xipeng Qiu 68 0 0 29 Apr 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiñski Kamil Deja DiffM 55 6 0 29 Jan 2025
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders David Chanin James Wilken-Smith Tomáš Dulka Hardik Bhatnagar Joseph Bloom 13 16 0 22 Sep 2024