{"id":"arxiv:2604.11962","title":"The Linear Centroids Hypothesis: Features as Directions Learned by Local Experts","date":"2026-04-13","section":"Representation alignment","quality":null,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/","source_url":"https://arxiv.org/abs/2604.11962","text_available":true,"authors":["Thomas Walker","Ahmed Imtiaz Humayun","Randall Balestriero","Richard Baraniuk"],"outgoing":[{"source":"arxiv:2604.11962","target":"arxiv:1710.05941","evidence":"id","id":"arxiv:1710.05941","title":"Searching for Activation Functions","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8815985e018dbc2066450e5afbb9260b48d5b03a4f41bc23285755ccf3185454/"},{"source":"arxiv:2604.11962","target":"arxiv:2304.07193","evidence":"title","id":"arxiv:2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/b15933596df35497024556ae88bfa696f3b0e8372b678194f04f1bfb9f3be553/"},{"source":"arxiv:2604.11962","target":"arxiv:2309.08600","evidence":"title","id":"arxiv:2309.08600","title":"Sparse Autoencoders Find Highly Interpretable Features in Language Models","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/311cc8e986e42947a9cd36e64cb7dad93d7352e1f5ad495664fce8d0f6fca5da/"},{"source":"arxiv:2604.11962","target":"arxiv:2405.07987","evidence":"title","id":"arxiv:2405.07987","title":"The Platonic Representation Hypothesis","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/6c7695929f8bbcea43ee98da9cd8f2fe806f2ba292f0b4e3e7fea2b64254afb4/"},{"source":"arxiv:2604.11962","target":"arxiv:2407.21783","evidence":"id","id":"arxiv:2407.21783","title":"The Llama 3 Herd of Models","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/de3cebb4c28bc5d41a843279f219dca14476284991ea5c7c0aeab7068a40e306/"}],"incoming":[],"text_parts":[{"start":0,"end":14520,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/part-1.html"},{"start":14520,"end":28112,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/part-2.html"},{"start":28112,"end":43409,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/part-3.html"},{"start":43409,"end":57166,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/part-4.html"},{"start":57166,"end":66916,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/part-5.html"}],"contents":[],"text_code_points":66916,"source_markdown":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8428fd0cce9753855f4d0f801609b0205a0be52a459d53ae44e7860d00348485/source.md"}