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Podcast: Arxiv Papers
Episode: [QA] Steering CLIP's vision transformer with sparse autoencoders
Description: This study explores sparse autoencoders in vision models, revealing unique processing patterns and enhancing steerability, leading to improved performance in vision disentanglement tasks and defense strategies.https://arxiv.org/abs//2504.08729YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers