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Podcast: Arxiv Papers
Episode: I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Description: The paper presents a generative model demonstrating that large language models learn human-interpretable concepts, supporting the linear representation hypothesis through theoretical and empirical evaluations.https://arxiv.org/abs//2503.08980YouTube: 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