Run step
Step 13: assistant
thinking
Calls code_execution
{
"code": "r=await web_search({\"query\":\"\\\"Delta-Crosscoder\\\" model diffing\"})\nfor x in r[:8]: print(x['url'], x['title'], (x.get('content') or '')[:200].replace('\\n',' '))"
}Calls web_search
{
"query": "\"Delta-Crosscoder\" model diffing"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01HvgQ3bhV9PGa6uYc1JNVqN"
},
"content": [
{
"url": "https://arxiv.org/abs/2603.04426",
"type": "web_search_result",
"title": "[2603.04426] Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
"page_age": "272 days ago",
"encrypted_content": "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"
},
{
"url": "https://www.alphaxiv.org/abs/2603.04426",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
"page_age": "272 days ago",
"encrypted_content": "EuENCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDCAaxya5f0geKDRi3xoMs8HINXBhX7OlrOFYIjAyRC7TDj+7GxmY6I5FnXIWTMFI9EkZiYOO1yhGtom3P4045adlJbAr60UjHbBdI5Iq5AwZK6TX0ojv3kJLheuWMIWC0dFBLvS9TEFh3O7rugL4LifAHOaTwwGyipfxfYUC3kVEY8RHaymvTyst7u4qxmwFAQdtDbV2Ym9Hs/wR0ShX5py4fskl04zQ6WDP5YetpYVCMF6BK3FbqdtD/bXtIkom6SnOSvVLdvCMC9k65NyOeqM9pbS6kZ15WEDv9NKmfOBxn0jlRGydpCPnVWKo7lZ7+ebwDLWVnhcVS4X15dbBKrRSnlxn0wnuAYyxTucCgDmOCFPxb6plAgZ2N7Vd1FGr+2kknes+Zcf78Uk4HAGBGamxLqufVINe1l/sgBfk+DkL4ltlxYlldhm/TPspxFyV1Idqd+ebbVIXzADFYHtZWPaSga66Cgtol6G8IvYFU+eJCZUUtMPRlG2su702vIhYesKo2T8BYSkk8e2modHc2h8sK6ten+tcegEjNVVSdlZuv2beljxOAcVt9+C/UvQLLhBg+0CZnrh7CDB1jtzwsXxqXHDSGq3G15EQmfFyPJpTqtX1EcrJGqG4T3623iv9oq3pqpX9RacqvYVgeOTezQh0sIBBwdsBzYVi63ewwj4HnFxP8faP/XbN4WAsOyIwYJQUjdO/Ja/K8Ex6XOKV/J7139G6KCBhJyJE+ZLNSYlnwQbyBUw7AtprQ/9ywbte8PBEWQ433GCbXLqpGj0nW8Tn/iSZkncyVoKPJfV+QREJJMrR7aMSKF0Ssw+qhOQn8lFVVu8M8cHAHkigrvLLfYd9IAUHRRz0b2qO5uQfA3HI+ua4r6vN/rwU5jepqiYHIrD0rxKnciwkVlATOkQbUiGyFJuprOpubFZbh4T1vm+0diMRjcowIqNPF3cOdPn6Kk2qKuoPP/NesOiHqqtGKaDXBN/43O8dktiNQNlpoDmwBDOXh2u2eaAvFo357nn3mjy30AqLCu4Fp5R21yQO5iZp+I9Z64CssQkBA/mX9LR0Nu10s81gNEEilSMxXLIeJS/mgRSCrt7lhoCNZGVNbV6qmfX/Jxh28SzQOafGujV5scHP4Rt0yB5TWY/S3PK6KO0Q6zp5xJMxlXsPky3zSWOAfjAaC9l5DWzefRfjzx7z7hGxiEA63qwS5w3dtQ+Ag0CEbqB534ZcuDc2kKQ7J5UsQvljlHvzII1N5xzG+/tyqmLRicTG9hUbXzvSjJ4iwHSRFPLDYMMdmphfuYJj6DLZQIgE8zuyCbYZr/NYUtMhnXGLEaJCYTX+Ucta94DZhtljoINa9evbXXIwJZZdHjdWpib4R9pR3umyjreQ4m+GBUnU4mOSHGhdMphnCmBlmQCh1yrfHOMFHaPVb2CcidCZhjLpn+hoqF0vNnM683kcGMUyhE2ZatMAXqIxBXsu6Ryg0JUZaInlRJ7mZfXvyw+jVPfLhc1mXu/YvU42rzo7yCEMJWm/VwdaRtkAflZ3XYL76iXgASGDigJ7N7UF9MwWkWmN2eXwg5dnpVjb7LxY2pZW4VS6Ccmp3PnXZVaDqT2pB/GP64LReBGR3sBKVll1NZebCi/tRYUWsCP5BsLZbZK93F9pE7q9s8C+1LAIHiAGVLuykb/RAsrUhMyq02lftWd+C4RcwSHtV+0gSTWuDrSsNw8IzLjw0N6ZRWSmFWXHOFqXLYuRmaao4QPGGEm8sLOplPjvpiiF7Qi17Y4gtSwUmi37RH75gwqKUiEoTcHJLBoyl4QCz4tgxC/5H0kjre7zBpl/A/JkOxITvOgfQYR+VJ/L4Xksidsxqxkn2HuP3+8kPRuTUDjJUgcPdLrFL04E4mDHCJ6yxl/bKbab/W5uz0rt/8Q1FrZmB/foG2LNHDNHY+qIhbwIBzNz73vgQQZG9PeHqosVgbgNa65kxTEE4QKYzT0Kw90BmPA0iLYQnxLe1BTGdolhsDse95NJ1QD6DCNRyGQbov/fXH1YuHEj8/AEX9CjR1M2LGQdAdc4Hdk4thDhC4BETxPjb4MYj4pgbQ460MXugaN3d/tXrqpSNSrEjkeK0h06RR0eYso7G3cywT5jTqhZ5qn4rtVrSPR/LI2CyOpD5NDpi8Ys5OJ4RiKs6TSny0NcCot7ENum3DSsmB/hVhlttxYRaBJDr2LMKCbi76LQAC1FTvSRVKsDCrJF8EwuX2E+6//l10k442QR5aClIkFMU/2eG7a+cScBKBzxzOqFErN6kEzLywXYGAM="
},
{
"url": "https://aclanthology.org/2026.emnlp-main.2453/",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes - ACL Anthology",
"page_age": "22 days ago",
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/html/2603.04426v1",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes This paper contains text that might be offensive.",
"page_age": "271 days ago",
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/pdf/2603.04426",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
"page_age": null,
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"url": "https://www.researchgate.net/publication/400602583_Delta-Crosscoder_Robust_Crosscoder_in_Narrow_Fine-Tuning_Regimes",
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"title": "(PDF) Delta-Crosscoder: Robust Crosscoder in Narrow Fine-Tuning Regimes",
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"title": "(PDF) Localizing RL-Induced Tool Use to a Single Crosscoder Feature",
"page_age": "143 days ago",
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}
],
"tool_use_id": "srvtoolu_01T1pk2gKEUjks7rVpSBM5bC"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "encrypted_code_execution_result",
"stderr": "Traceback (most recent call last):\n File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 190, in run\n return runner.run(main)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/runners.py\", line 118, in run\n return self._loop.run_until_complete(task)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.11/asyncio/base_events.py\", line 654, in run_until_complete\n return future.result()\n ^^^^^^^^^^^^^^^\n File \"/tmp/srvtoolu_01HvgQ3bhV9PGa6uYc1JNVqN/cell.py\", line 9, in <module>\n for x in r[:8]: print(x['url'], x['title'], (x.get('content') or '')[:200].replace('\\n',' '))\n ~^^^^^^^\nTypeError: string indices must be integers, not 'str'\n",
"content": [],
"return_code": 1,
"encrypted_stdout": "Eo4BCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDLuX+zlJiKmweImFXhoMIYgEDcBe7Qqay8Q7IjDO+UgqEAwNEuLUGrHZL7LauDqyWstgocOa0qWVaYofTcd+80x47DCMh2sRrx1CdTQqEuGAv9VAQO0LQDMOM5PXFDEu0BgD"
},
"tool_use_id": "srvtoolu_01HvgQ3bhV9PGa6uYc1JNVqN"
}Calls code_execution
{
"code": "import json\nr=await web_search({\"query\":\"\\\"Delta-Crosscoder\\\" model diffing\"})\nif isinstance(r,str): r=json.loads(r)\nfor x in r[:8]: print(x.get('url'), x.get('title'), (x.get('content') or '')[:200].replace('\\n',' '))"
}Calls web_search
{
"query": "\"Delta-Crosscoder\" model diffing"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01KQFMrBkQgpYxCjxWGZy8uR"
},
"content": [
{
"url": "https://arxiv.org/abs/2603.04426",
"type": "web_search_result",
"title": "[2603.04426] Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
"page_age": "272 days ago",
"encrypted_content": "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"
},
{
"url": "https://www.alphaxiv.org/abs/2603.04426",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
"page_age": "272 days ago",
"encrypted_content": "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"
},
{
"url": "https://aclanthology.org/2026.emnlp-main.2453/",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes - ACL Anthology",
"page_age": "22 days ago",
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/html/2603.04426v1",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes This paper contains text that might be offensive.",
"page_age": "271 days ago",
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"url": "https://arxiv.org/pdf/2603.04426",
"type": "web_search_result",
"title": "Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes",
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"url": "https://iclr.cc/virtual/2026/10019264",
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"title": "ICLR DELTA-CROSSCODER: ROBUST CROSSCODER IN NARROW FINE-TUNING REGIMES",
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{
"url": "https://github.com/Aarav500/model-diffing-specificity",
"type": "web_search_result",
"title": "GitHub - Aarav500/model-diffing-specificity: Does a white-box model-diffing agent name a finetuning objective when there is none? 200 blind runs against Activation Difference Lens. · GitHub",
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{
"url": "https://www.researchgate.net/publication/400602583_Delta-Crosscoder_Robust_Crosscoder_in_Narrow_Fine-Tuning_Regimes",
"type": "web_search_result",
"title": "(PDF) Delta-Crosscoder: Robust Crosscoder in Narrow Fine-Tuning Regimes",
"page_age": "278 days ago",
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"url": "https://www.researchgate.net/publication/408106623_Localizing_RL-Induced_Tool_Use_to_a_Single_Crosscoder_Feature",
"type": "web_search_result",
"title": "(PDF) Localizing RL-Induced Tool Use to a Single Crosscoder Feature",
"page_age": "143 days ago",
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},
{
"url": "https://github.com/Joshuaweg/pulsatrix/pull/112",
"type": "web_search_result",
"title": "FEAT-8: crosscoders and model diffing, with Latent Scaling by Joshuaweg · Pull Request #112 · Joshuaweg/pulsatrix · GitHub",
"page_age": null,
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}
],
"tool_use_id": "srvtoolu_01QELQwiwq2CChR8DcAskkzB"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "encrypted_code_execution_result",
"stderr": "",
"content": [],
"return_code": 0,
"encrypted_stdout": "EpgXCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDEC11Qhh9tTQZs5aGRoMwARLW/0985M4dv2DIjADJt/rURuZzC3rViyKDQsqpV88VbhW2r8vS/lfz9Mr4kNeHRkMQ3LqLeDxmU0Mh7cqmxYw0LP25FAqK4/7HhN8eJUEkFVnKIQZmWqiFvHorjYIXeCAv+lTT7fQxgJEL2p6zyMdMmnYb87h30QcCRVmBOXbwWV69AGOhc0LJ0o2QqfD2GWXgQGeMVyC2fTTkKgH80D9ceq+R+GmGp28jHYxVXlh99qRdyPlMvlUnkeYx/wroMmKmFB3i03ze3Q+qq6cEFr2xIVoe4qZGgo1wuyDAQ6VX0uY8RicLxFNGXn/6OfFqSMi50o8/p4FSkhBy8+u0QYiQqo1Z7DKTz8Ux0FGso3/GvEfQB9IlO2nYMiE6VYjUU1wHR/kAxNJEqe0B+4b+jFg5RG7M+NHsIs5OVEyQ8ZfmKqskM4XdS1tx5OOAsvJAcH/KCHX01Xr0un/txHj8HlVsFg2r5/6h2JVc9T675XCjRp5OFMVEZKuYBgMKt5U63D/BTgc/hyDk1ihuXRwSfg/PU7WLBvMP1f6Csyep/vMi5ZqPvw/7aFbEhBklYB/SY7aVYx2BAD4YkQl6ylVs0Ilg/9VihRzaxVZZwFnCL0qGwlrZTTXZRh8G9JzeO1jUTKU0nZ0ufUsspqsneHnM6iLm1EJiQlQ1U6aqwwYoe08YqJJ2/si6gQHoGMYlYs2xASyI/gH9iomDOo+/w81mLhUePwY90UvEgXqm0bo9hNCEuZgO+XlKNTehS3AqrcZ6nan77eIMH2YX4SIAdCuqKCA9Okd6ZL67eR3CLCuB7b4uTpq0giKRppMPv65rgumccLFRtptGnzc5bO/O2q6LLRNM0wnc7U3/buZFbIq2bh7Rx6w0tzN//WNC5kCB/lKxsj0StN0wVSiFFUBXYMx3Y1k0PQ7kcah4yFrwk1Kn6E9g42iqA4t+lx4lUbYHk+4m/ikc583xKhUiMZ+gNaxD2dNNq2tpkd37vS1rN5O/9Vq+zDdIPtKdujsRgA2igK/S58GWcKsE0qm+YwaiYclpz9Ed0W09ESEfrUXpNQeDLMYPPIk1hjCR47NlbThDCExYB9FLNkP2nFFaDLzz6aQd0OzIPDQ8fJknOQrDj8ZbRHGyP5W9xqy2JRgcaDfYCcVFeatKegtGh+raqwvjg5voXDVrKle2a1DetH0rt0J8P/gHWoV2zk/5kP27lVF3MDeBSoo7wvYw1uEps7OpM/f/2TgOL/+OgXBT17MhF8qvG4T43tz1GOE8EqcvE5TP2GR8uKEqFo4Ha3Td0vWDH/ZoUXfv2UgdZI4sTXhmuLzXsdIZZI2dKIu+TeULPK1iUIjVRwzlfERdg7d7AWfXosLVRael7kDz4lmRu91Z9+DwliYcIr1gQqRmThKcz1DZX6uo8Tz12OjzsHXLiPZhS7DJucl0SGcC3/T/GBXnU39maav6Y04+KV4LuMt5q3fvAbU+yRknAXhi40MNou/NS5zUzhtM618uyNHW2pczun0e8KRLfdHWYtKhtKIZITlZZQTMH//nVlSk1N9xJky0ALkDgr/UpsNkI1S7O7nKHBpYdfCyV4DCVGaBOn/T05pBv/20IItiUbxJHidax/7ZEs6QDZokxB6YjL+qi9dbcjkvDklBRiAd1ucM2fjwTnIOyF0LFwEBo7zB3vM8AN10hHRnQ5haH1ppt9umw/k0Wc+qkALregkzLxeRbLAbecRBdGarAINC89mbs953CEpddcvg+Z0qIRnPhOctX92EAaK2I9ieQdOpZMCYvOcLvY+5zUuiK/HQ+j27h6ZGtklqOd3nJX6lAfQdd45R6p8/N14FdB7T8ex6qNkCG/ZL5ykkPeR/ilrzLsKBsnFlwQyUIJVm15nQlvc+Bp0G2SwQig6LmmeeChA1W8x4nuO2npbnwTG7lvtX989s9fohw3UW1qRGKGt1LAfjFSRCsDitAT93pwAFIs9KlPFFgvm/MvCvPmPsxSavIjNcpAwUTW5p8lNKnm5ayHNHpMjHc3OCojLEyDhrDgiik4swbb5RSxiAlPnI85Qz+jtLAXbr/HhKDUcrIPGh50d/JZqMJW9NCq3ytWR6AnksPTcQGifoguIQimHr3vphSjfvU8j3XYwrQrQtG7bp9IoIJ85HB4cGIytWwhk2fE75+n70bP93ZcUazn3fdj5SAM1FPB2FFSxadPPdAYsI5F0dqJThVx8Q4whd4t3AfZ/HdfU3eNQTBjSvF0jd6UXErJwEcBTFj2Nltb0m51TISc/pXww36ukpOsCDpH0AReYwZ2iUOhA/nz9kgApj8RouEsKFJnUrAFHvI+qAhyEWdhGZWELOwp6Lvn1Kq98S3mir9tQ6ClBA1CB280pn7XVfg87y7kXX9SzJxXL7jQyrynUS4dmAQ5yIagYc4993NgfHz5mCoB6BRlE5pVNPH699/765c/AOWN4DnmyoseCK+EVUNQlabYsVJuRdtRLjAcrSSXvgyeHM2YBd6l9TrMzZ6/6fQQP+WcFOVNcgtI8VbGeJ5WavUbOvuxTxzGLHyWr3yM9ch7xfItE54mpazUZIVwQNbQG2EN9VSnCTgslkQqb2gIsP1rn6omwbRF7cmykZ+qaMq3IBl7Rx91topW0GKKTfceC6RtH6b9eWUkT79IegepJwiYEhwq1Biy3QVk33l8rZjC61Rxf+IITsauGuHTyYZZRUSAX2I9dre8D6jImu3q9S1I2EWONrtk5XAdO4SoUhE/ssFrl/mdY5IW7tChopwMsRrAkikycuCvjJMbCMGjUWKi1wzjciLDJE/fCR8794sWCT4GvDP8txTMEryjk/RCOvnhpGk3YQiJmuKHQu52R2X+HQ7g7oyqF+6UTpQ8NNjhWdq48KhWCxfKhL5VX1wzMoAFI6aNQOKInO//hvzWzzPI8RlfxNH/dcHYVlyKwCwOUdWd/VuqQTRpKoeKqtuMXqk3N3gheK2N7nJJEnjWhZ99pTIMo7zcKj9K6Jg9deT8V4Cphmgl9dWceDAMbqDTNXVmMr0VGNf8FB7/xhY25TD30S84V2ZyGty0mN8KXMggBbik9idm/LXkKtVzvW1WpppsqO6I6XDUlyXqXTcWXhMbBnKmzxEJBe1EhRsQ6unxFVLts6HJQTjvTmh0zHKf76BAMyWdsL0EKzetlbKCJYNYVk+pjXb29q8OjUiPoi2ltuaY5UxFM0zOFmKlQj6Ods7e2nVRyKwgACgLcKQl5d6meabPL5XJ7k6g8a7rqmnEnnYIeE2FYFuuVckCtDIsQpTDcdQWby64SDDy02UF3lrXm5v/1aFGVLB0Do7z7FWK4veyysCAeykjPJ17BbntwHMLY5ktQjFT5qx7n0E77aDk4IMVOWX2JI9IrXWvgf0eRZsboPthR7oJXxk5hvGO5NPujqNC5ItGlF94gk/Cn0BQXFVYO0YJL0MHuN82OZs0pDFSFdkESvC5U1845oHVc8Vnrse1+mSUekaY7xCPY7/oRyJP7KCfkVaFXVTmyZ2SOjq2205rdyst6HwF6iq8sjrSm6y5aE4nX04WbMdsvhsQaafyj6hlJDqu2MfC5eV7X5zrrIRmwVkJ9Cfu4HzrVs5HWdu2MQb/2HqpMreylUF+BvPJyalMElUimSkAOcYOByTEldNn8tw9qK48Frs3v+yz2Sjbj0mYTmUfMMRPA25EMFmJvLVWS+lZptrTltp0pzfsDFeXKzBvM/Y25uL70CzkrkS2VulLCftBSHDMOCZ05ZRpp2jWaRB3rKNd5Q45PsjvY4a83Sd5/JO0UKiPirCp2YOGSguTeAYpcRnHpK8N9KV5rvq0KzN7rc+jJRmzVisc/CZFdjelFWvkX8f8px64FlZQ+YC/+o5zhbc1xCzqZ5RgD"
},
"tool_use_id": "srvtoolu_01KQFMrBkQgpYxCjxWGZy8uR"
}thinking
Calls code_execution
{
"code": "for x in r:\n if 'github' in x.get('url',''): print(x['content'][:3000])"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "code_execution_result",
"stderr": "",
"stdout": "Delta-Crosscoder (arXiv:2603.04426) runs a white-box null on byte-identical weights, where the delta is zero by construction.\n\n# What does a model-diffing agent say about a model with nothing to find?\n## What this is not\nDelta-Crosscoder (arXiv:2603.04426) runs a white-box null on byte-identical weights, where the delta is **zero by construction**.\nImplements FEAT-8: crosscoders, **including the Delta-Crosscoder for fine-tuning diffs**, plus the tools to read a model diff. What's added crosscoder.hpp Crosscoder: one sparse dictionary over S...\n\nImplements FEAT-8: crosscoders, including the Delta-Crosscoder for fine-tuning diffs, plus the tools to read a model diff.\n\n# FEAT-8: crosscoders and model diffing, with Latent Scaling - #112\n\nImplements **FEAT-8**: crosscoders, including the Delta-Crosscoder for fine-tuning diffs, plus the tools to read a model diff.\n\n- **Delta-Crosscoder** (Kassem et al., arXiv 2603.04426): an averaging encoder, shared and delta partitions with their own BatchTopK, and a delta loss.\n\n- **Model diffing:**\n\n- **PyTorch golden** (tools/golden/make\\_crosscoder\\_golden.py): L1 over three sources, BatchTopK with AuxK, and the Delta-Crosscoder, through loss, gradients and two Adam steps. The Delta-Crosscoder has no public code, so its golden follows the paper's equations.\n\nTraining 10× longer doesn't change this, and neither does the Delta-Crosscoder.\n\n- **The Delta-Crosscoder finds the most,** but at 3× the L0, which also explains its higher explained variance.\n\n- crosscoder.hpp: Crosscoder, one sparse dictionary over S sources\n\net al.); the Delta-Crosscoder (Kassem et al.): an averaging encoder,\n shared and delta partitions with their own BatchTopK, and a delta loss.\n\n- Model diffing: CrosscoderLatents (norms, relative norm, Δnorm, cosine),\n\nshared and one-model feature, and on a narrow fine-tune decoder norms\n\n- pulsatrix_diff_lm: diffs a base model and its fine-tune on the same\n",
"content": [],
"return_code": 0,
"abort_reason": null
},
"tool_use_id": "srvtoolu_01D219kHjrfURRH3LB7XMU9T"
}thinking
Calls add_argument
{
"name": "The argument from the authors' ten-organism evaluation",
"stance": "for",
"claim_id": "b9d866f3-2bda-456c-a10d-bc16f0450577",
"description": "Steering, max-activation and coverage results on 10 narrow fine-tuning model organisms, plus a grader comparison with ADL."
}Calls add_argument
{
"name": "The argument from non-like-for-like comparisons",
"stance": "against",
"claim_id": "b9d866f3-2bda-456c-a10d-bc16f0450577",
"description": "The baseline comparisons use author-judged success criteria, only crosscoder variants as SAE baselines, mismatched sparsity budgets, and ADL's reported scores from a different protocol, so they cannot establish superiority or parity."
}