リスナーの皆さんは、LessWrongコミュニティからの洞察に満ちた投稿の魅力的な音声読み上げを楽しむことができます。これは、合理性や意思決定に関する考えさせられるコンテンツを求める方に最適です。
[Linkpost] “Reasoning-Finetuning Repurposes Latent Representations in Base Models” by Jake Ward, lccqqqqq, Neel Nanda
6 mins • Jul 25, 2025
Charts
- 168Decreased by 3
'/%3e%3cpath%20d='M74.965,77.269%20C74.795,75.733%2074.283,74.624%2073.259,73.6%20C71.339,71.595%2067.968,70.272%2064,70.272%20C60.032,70.272%2056.661,71.552%2054.741,73.6%20C53.76,74.667%2053.205,75.733%2053.035,77.269%20C52.693,80.256%2052.907,82.816%2053.248,86.955%20C53.589,90.88%2054.229,96.128%2055.04,101.419%20C55.637,105.216%2056.107,107.264%2056.533,108.715%20C57.259,111.104%2059.861,113.152%2064,113.152%20C68.139,113.152%2070.784,111.061%2071.467,108.715%20C71.893,107.264%2072.363,105.216%2072.96,101.419%20C73.771,96.085%2074.411,90.88%2074.752,86.955%20C75.136,82.816%2075.307,80.256%2074.965,77.269%20z'%20fill='%23FFFFFF'%20id='XMLID_657_'/%3e%3cpath%20d='M74.496,55.509%20C74.496,61.312%2069.803,66.005%2064,66.005%20C58.197,66.005%2053.504,61.312%2053.504,55.509%20C53.504,49.707%2058.197,45.013%2064,45.013%20C69.803,45.013%2074.496,49.749%2074.496,55.509%20z'%20fill='%23FFFFFF'%20id='XMLID_655_'/%3e%3cpath%20d='M63.872,14.165%20C39.381,14.251%2019.328,34.133%2018.987,58.624%20C18.731,78.464%2031.403,95.445%2049.109,101.675%20C49.536,101.845%2049.963,101.461%2049.92,101.035%20C49.707,99.499%2049.451,97.963%2049.28,96.427%20C49.195,95.872%2048.853,95.445%2048.384,95.189%20C34.389,89.088%2024.619,75.051%2024.789,58.795%20C25.003,37.461%2042.411,20.096%2063.701,19.925%20C85.504,19.755%20103.296,37.419%20103.296,59.179%20C103.296,75.264%2093.568,89.088%2079.701,95.189%20C79.189,95.403%2078.848,95.872%2078.805,96.427%20C78.592,97.963%2078.379,99.499%2078.165,101.035%20C78.08,101.504%2078.549,101.845%2078.976,101.675%20C96.512,95.531%20109.099,78.805%20109.099,59.179%20C109.013,34.347%2088.747,14.123%2063.872,14.165%20z'%20fill='%23FFFFFF'%20id='XMLID_653_'/%3e%3cpath%20d='M62.848,29.099%20C46.891,29.696%2034.091,42.88%2033.877,58.837%20C33.749,69.333%2038.997,78.635%2047.061,84.139%20C47.445,84.395%2048,84.096%2048,83.627%20C47.872,81.792%2047.872,80.171%2047.957,78.464%20C48,77.909%2047.787,77.397%2047.36,77.013%20C42.453,72.405%2039.467,65.835%2039.637,58.581%20C39.979,45.781%2050.261,35.371%2063.061,34.859%20C76.971,34.304%2088.405,45.483%2088.405,59.221%20C88.405,66.219%2085.419,72.533%2080.683,77.013%20C80.299,77.397%2080.085,77.909%2080.085,78.464%20C80.171,80.128%2080.128,81.749%2080.043,83.584%20C80,84.053%2080.555,84.395%2080.981,84.096%20C88.917,78.677%2094.165,69.504%2094.165,59.179%20C94.208,42.197%2080,28.416%2062.848,29.099%20z'%20fill='%23FFFFFF'%20id='XMLID_651_'/%3e%3c/g%3e%3c/svg%3e)
- 195NEW
最近のエピソード
Jul 25, 2025
[Linkpost] “Reasoning-Finetuning Repurposes Latent Representations in Base Models” by Jake Ward, lccqqqqq, Neel Nanda
6 mins
Jul 24, 2025
“Building and evaluating alignment auditing agents” by Sam Marks, Sam Bowman, Euan Ong, Johannes Treutlein, evhub
11 mins
Jul 24, 2025
“The Whole Check” by JustisMills
7 mins
Jul 24, 2025
“‘Behaviorist’ RL reward functions lead to scheming” by Steven Byrnes
21 mins
Jul 23, 2025
“Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning” by kh4dien, Helena Casademunt, Adam Karvonen, Sam Marks, Senthooran Rajamanoharan, Neel Nanda
12 mins
