Run step
Step 7: assistant
thinking
Calls code_execution
{
"code": "r=await web_search({\"query\":\"Jiang 2025 interpretable embeddings sparse autoencoders data analysis model diffing LLM baseline\"})\nfor x in r[:5]:print(x['title'],x['url'],x['content'][:600],'\\n')\nr=await web_search({\"query\":\"HypotheSAEs sparse autoencoders hypothesis generation outperform LLM baselines\"})\nfor x in r[:3]:print(x['title'],x['url'],x['content'][:600],'\\n')"
}Calls web_search
{
"query": "Jiang 2025 interpretable embeddings sparse autoencoders data analysis model diffing LLM baseline"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_0154xMjjqk57NYKsXhiBVndf"
},
"content": [
{
"url": "https://arxiv.org/html/2602.10371v1",
"type": "web_search_result",
"title": "Simple LLM Baselines are Competitive for Model Diffing",
"page_age": "277 days ago",
"encrypted_content": "ErsNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDItyGOHzv+7uwSvJuxoMNVEj2wxSRvHCy43yIjDq/C1zwPcyrTjM3W81ZTRvqw2ytbejHO8HF4KmY8SL2CuttMmkxVoOtzTlAdp1A3wqvgzmUVqTRzpdbXN/AFOHSj2E57Sebob4OP8Lz6x2Yaps7aj5uW57AdYV5mdxh/CxspHQwnbFCe8U+X9w2lHmTKdDHfIMDNKA6yjRNpkorhU8As2K5xPg/tPg84+akgm5NtvfA7PwzM2qdfDe1TU0z4FKKtL35TwKesnPCTgHlp1v0fAejxzTVsyHvsrug/GV7Q/LwhppVWUfnTNEFy2fE4PsChnO9n8ac6r2AOjKRjSu3/VgejqoGa6oIovFU9bn0novfu9fbjZ51MbU+bSg26pbroG8LCnA41PRb24Sawkb9KSXwNKhYdvFCQ0U50VhZUKPl+bGPRK4cqobyx+uvk2VSAvvTOjzN0aIWztrC+qqqVu5yRlaMec1scZeGQ/NYwk1DIp5S+AF44CCWQZow+XceXFbc7FWNvQVfrHE/c2xOqHJcZXeMm/06qOpADS39IGpIPXbxiDhWu7fAb29Ja5nYlIhzSIiy5BkTdJxFW5F3cA1YbnXgjvZsT9V5wNAz3pPChdVevB9sKQygmGMV/I9qW9F4zbIq01RTk1WYOpJ5lkU3oRPFy8+GrerUvLugKpz1tlBv53nfmjxTXMX94ZzRzd0W+Ydi8i9YHBxrlM110Yb7rdjt7+xCEM8D01wYnvKPVLb6aZksszXQeUk42ly0ufkzcGlCbjFQb/E2v9bn4n3g+MXQDxzcD8FXIKHVxHcP/dktnEQUADw6bbJGDtY8gIx2V/IKzZXVUs7NCunf/YkBVRVXNwKeVGmL3Fwf9mnoS26WTz4qpGB9zl+9/DthDKHpNSxX6GsdJnVoZXFBDW/4I1+Bs4FbUV7+t51EK0hvhTJmf/LR4+/4AfrVrmaaPniObPSjArtZ+8KNO2Vq3fsaS8DclKIPX5cONHnuisSokd3u/FqvauyvbZxLgZ3eNozWK41ql0GIpYCNEUibvXfc+PE2or+xhHTV1RsHMC7/RzNvLjSB4FEFgNx/82Mx/r3sH6nj6fSowWp/fI6yjx8dQxpVx9pgxDF8ocxP38Ks+wn1rUpCcAnyoKuTIX73wZgfgfM7JtQAUktOfeW7+/nvR6PipP48M9IyPzBdbMooFPYYfNQ3CM+lFuZq3IT0QrEj72S5aOuDMPZRQ0j6Ypp14UE7T4kkkjJAHQ9mGYYwDuufO8GB5stVJgSL32MZcT4Kra8o/D3Zjw9hvAOYB2ScYwDi8OHKiY1O7jfk65cbcz8OmZqS80O8e0dMG8900WawJ9eCpc4df/auqwbdJhOoGL3Kcl7JbNj+SxFE4BoedxnlNhRTJH+6HesJ1CYtUdirRKPkHjb2peoSQcgp62B3lDpwfQqqRAW9KUpLDA7bXq/4JiRt6fpgcm5nuOSQINJ1/ScezAgkGOsOkB0VdoQhWIJBmioyQ2WOf/Wny9ujLtBV1AURouRuaKlpwn6BlZASvzSSeRC9fj+3SiDolZ3LH+4jEMOwCpZ9s/vQlAjWI2NRzykytpHWjgUF5eUQRkx65HDdG5U6vt3wZCw/zVJpwk4fkzhEGEaj9mxzA08XrDhPXCT55dmqDswIMFd8vq3gMnJVAE81dm3S+YBimo4dZFue0Aw1yd5j3vQqbr6Orpubhb+5CCjR7khaH3P6o0+MY2bX+2oALOop6sY4asiauchVEKExBt8znRA/N0MuF2jiOJtBhTZe5ORT/5rvw0BIkEHdXWHSZFnRcUf4Ox29V+i4VVvXnvJ4Mn0syRiZES3sHGU8ibTn5DcFnaErSlQSwRKoQQ+UrgyPT3+Ij6poBnXi6F55ZzJ6yNPh6OXIImdb6fT0ACM+6dLONqSpkxIITBX+0UVZsq4T7EG/0zGilqd875KSREAGv2NFZaYW1i1bEsPhKlzbdV766it/IBKSc/lKpZWHayuBL5Whd62ongOk6MOBaPXJ2ruYZRBYYniIgxJeOBKmzAuQJpdW8QwVKg+t9ZPugxX67sOPhikcepZ7Nfcy5XjzBatlm0vv5DZaAGRb6s3tj3JZ4IMLIz6FWF5iZo8omS3Qi9mhg2VgVyDyy0F4oNdFvS0RPMZ4B3EDi833Jcp6tWVfCD1h9AQYNMVUiSBOoDY/bCL1XapKT+S1IWTivJLfGIpJJGwzE8+ZrpfPKd/QZRslBgD"
},
{
"url": "https://openreview.net/forum?id=mqJbhBMFm5",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit",
"page_age": "411 days ago",
"encrypted_content": "ErgNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDDSunU40OSfLVtPRNRoM1o0R4FWkqdBrFfj1IjBFOxzl9rlOg+GyYgQIu/Jyj4u3pcVFs3e60UhHo3bK44XkMTpFptmSqN1M4fgD35AquwwSJzmJsRwW5eGuKo40WqBHMLohTpeszCDjYPV8/IJjbgzZVMk6/AVNazMDC4mv6S8v0MFp6EOKBUmsPXZU2Is3xmshpQ3OZa0Y9PzvKbry4MyWwID+wlNl2fjdLVNkFautq30iOUlGc7ObJ4WKBK1DsyzZwgIQSl4qm/dw5s7y58fTssbI18fzuuqdtcNLfmq7hMzOpUA+ChnyKu1f2ET67U1vbzCu/2rHLfE/oMcLmIcsUbJEc84FR69vUuN1c7ikw0V6aR5T0O2UDh+k0f9U37nTHadzPaGUo9ygN2l0ccWShK23RxiNAapiHkHDxmrQAsYjmywVqcd3btON+86tZDG2uo13/LLqgIB+t5vkgbsQiLe421C5HNBMaVGfF6GB7SkDOZNBzrj3kIBbjL/0EQ8P7GOmETbXQvX3GviQCpPjvUxP0UeanjIR/WuOIan3jmNEHHPXbEX9M/kTwIDsWxiAnjEbwNF2AWYFRGhjsOYK5CnSeHE2mZP632GDIJco8nqGafe/M7RJYOs3UMB3ymbyvBVWUrl2cX8vSiI5RmnRWFU613s31g3eNMRePkQaaj6DylwOPdtIHZVMLRUf6NuOVT1v/y8EEaG29MUiHFvpxmYumn8rnbUgP9p9/cfFhJDiHoqYqn9YTOWXXlNR1gBe5kJ1/DJI7tyTwXlQ+TVBvrrpo4eQi4/fLHVR0WgJ8BEUhNQTQJZLK5c+smxRCD9ieHd7blmaUHubMDAnLNfHeo9eNxJ6EMryKgG6II6GaTDpelEFtR+WV+Kh4kXPWsaQavla0lAEWEbwm/2bs78rWdbXUp7V67Yy533Vh1k71475hI8uQSeWYJmaHem9eXNa+T2CNfS7UPBz8wmDQP5I0rTPB5jZtYsVVy6u7y5Lp69Oaq+PuTODD2+/zn4VwRP/fonHSvP5KN3y6kyrmzzs6rNNsWJ6nNQLu4lk8ww27yJ9HK3izl6/dk3ZSQEcSMELvXCGeKhcU9h3oqtC2FPVQ4lkkcIe9VpRgrJi21Q4slksXfwzWZpnuoU2Xz+468wXOoYxFpfSFJSCBpTiK0cMHOkprvGjJZkaOCc10T4XSM4xxyvnSSLnsRJSeRK13Sc5cG1lV7MBoGHS+l/npwVE4sBghANRO6bQ3CcvqjpWxI0MrDt0xJGqQ4HdkO0E61DJOuccAe6IuIMpN8gJjn+dDfrxUO5FTdSBBS6yjDBiJGCMD3OhTcw4JLMiV83951/AdLvjlEapRW01EH+UOyfMRDq/z0Mj7XfDQNqjz3c6k4aLtPx/Cvr9wJeO67bG++rKVy8BoIFJheSmn2JsUCiXeCtLK1s2BXjy5Wx51SqmUDCIglRTyQYVEqTJtV/j0rS0+QZPrpbNwWxdrY8QQts4Ta/v4ikxww/EuQDBl4T7wP3JvRruT8eDCQvSg+FSSzbsZxB0XEN3LO3W4gSGFQIUM9jkNnvZ5+SNHKz2gUgfV7s6tpUMIJV9lEWcgTBN8INWY+D8d87TWlUNFTBxbXAYU8ug5N33Qih/wAnPOu1UwI17+oxGvDeoAO3mMKleZJDqz09qTkuhL7T5EnQylp42+E0KuwzXhpx8Yth6zZ9iZKKFL0GEzD6ZkpkllsjbmMh8SBXMK0kp61/Y39lSnb3hMtBdj32KhO0g4LAN5xlsszF8my7QEd9Tn3ZjXtnsQY5l9Cc+QXISr6CtYnpyS3yAI9poU793U9tpmpobE0okVWAJckksO+TBy/e4jJZNbm1D7Ok6JabqvaWmQf6+YtCZKLHHCnioTJE0eaGoJp06pnORtTL9VUKkEmp49SozdgoAPBrOrDZaRGuqBxzoJ6Hb7az1coIjHA8X0sZizT8qzRng8Twp0slK+bJrJYQTa/Ltbs3OQKNGVRL5CEfmvB7fxP2nhLQdNY/qUt5otV0UFf/8wBHUO3qeY5euactVa6FzBfO7r3BRXu13LM3TT/Kl0ol0rSrlGQkXrfOSo8mAF5uIxfp7+9qJpJJyCaoxtKl/cGn30sVbk0BFyDIe38Ykkw2Zhkg5VG9SqwqOmJHly14yP1sj6I7CymNuElUSQ89kCdRn8EJoMIpG5x4cNdLyeG34Sn8K9DrLgNTORapoa9aZMmAMZQq1QBgD"
},
{
"url": "https://arxiv.org/pdf/2512.10092",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders",
"page_age": null,
"encrypted_content": "Es0NCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDDzXQyzTxBg2dR4rZxoMPB0FbvsrwUP63LDzIjDVdNcp7a/fOpqWbg6LCfUJzqBz56umbMH+1yVwg/sJ3xuJajySXxWbAV5YVh9FEaEq0Aw2XA8PvGrFMB6DNbntUQ7LN/xnox64EZ2uhTxIrIysFgX2uZYZkqGDcjKAcXXVXfSY/wD/EPnRscU8ykBrSdtWtG3vcRVQyts+nNsKMOj5HPdh8/llZpy/dM/PRmgSnqheOup1T0jPNM3yHIo5pwB9tiRn6zhLkV2puLXSTjq8dTrt8YZlOR4fLihU8dFAPHEGy2nQQeH1c86m2NKAJYQuYpdbhHOD5u6PqIIURSvEDVavtJp6dl4Y/8GiQNrhpf2NSNJn1lCkUte07kk1XKxRVjqFDC8w76hr3rrGas2zIFskOSw9d0MSBb3zpnlIA8H0gCQWrV/DhlDnrzyfJdD0buvfHsOQzLcRoZdXH7eiKGe6S0TgkWP88yEzUBlQq684X+1YB9A3q6AfqIMC/jrWEE7xdcVAKT7a5AvI3L955q/VWlaVYlSQ12EubIzdg+AsERMAW6sILfpAA9+5IuRrUZrU71Agj8mKi+OfrBmrUT08INCDUo75fM0FW5mC8HaoH1TCoSlyaZGc1eINtTsCJvyBbeLeKcNRdM8MSbUNSDd2F2nguMGHLN/Xx4BcPrpDPXwI95zx9BMD0iweI9AnODhOzfLrt3ozI+VZssKgu6gzNttC6uZVyJK5jkJtnX3y1jBz8DZnUKkeYhMK7pua7anZItGV/ajbvnTsGzzjTMlVYCOoJQ3aH6diaEtPnVpiQX2KwZ3SfzbmWPk60aPlfZxCPB9uSWYCVivCqZunfTIKD0mJ0x0WCr8+3JRCYOZVD31oZcH3WNynEpX8eJWtJywC9jBsz4kESWascylwlIjIH7RAJSjdRJaIojeURQ/MvrtsulNtMOu29aZobUZq0e0J2eZyG8qRAED0Qu72sPX9Z+idbJfj1LSGHDjtiYOagMagYZCuh7K2i9KIhm2hq6mMCFTQcJYF/g/6dnVdFoPN+H/Cy/3TtuJm2MMP4r+6N2WDsuvWjLbFIFqcGwjK9O/e6gG7OqzeSmITTYZeggAlj+7GDp4KNnJBwFjbV0KERlaUfbivbbS9CREe+g4s7D10FxgPpBplxvpRGLfCnn8f5p3uM8zB2sSIB3jFYygXD5SedDEPcv7HnfhLl0HwFf6aOBHVoAXVBHKgtIZnnWKzNJ7J0wpxlGe0MNHVyExSlCx6llCT7JgElqS60XNB0gCCf5eZxY0+axHhwDg+NjiwCm1MHmnWH3+XW+alxDKOeJclaA8kUSlP71tLXOX2EOsX7r2XkI5bdgpUjMcJmnVcXnlqMsu7surcNUqfJtKqCLvNbpUqVLffdwZBp6YPWh9CZerVrK+cTAtT18AGmKVPwdEgjTi2/P1MiAtQv8iXGnrAmA8Fdv4SHz2DYXxg39attGduHtgV23/BUV9kPdTzMiXIgwu1+dq26RqqEwPioLZqx0AFXhnC5VeYchlty7+A5Zy/728sIGWYUSMNyGZyIqc0ifaixnkCkiKaclMkO0yeoUoQPqKS1PZsp3iap8WxSfkV8ebmAOwSEvvdNlXFIPsGFBZx0gj/2NubG0NIzUc4ZtPnIgsPW7nKjTCZOrIj60F+6HSQVeuLHcCT+JQAuhYyBgIE9mhpfq2flLeM0ac9dNuGEUniQmaOVUSXVvVcDNE8GM/p4yxdLDQ4wa5QahI6L5RnXm180jWfa2gg3Db8/i7E5uTJTisc91n+F2SA6Id945t1iGBGwXEg/ebq2iCAyXYCVVMfc+HrQK0bG3c8oYr90Xv6Iv1npUMHKITmrsU9cFRzMQXcw2owuV3ziPXvEJje/73fieOhlS5pGr8pY4pPREOjNPcMdo4hlxOKwKacq+Bzs/ijYklqSx/R9bPW89bMxTtqV9bfi9+uOaycwdTDVEQHAcHSfkTlofWN8Tw4ZBLy2W5Ug9aDQohVm5eCmavKE2fuNViXiG1WUXuKpF1u05GcbqU0ObnwaypTT5qyPzLA3q2BLXiMj84w6m+QWExkt+vHvYuVfc91rWswBpu8Qn3sHlOzc0KykFWo+R96jrjk2keR9Tc5GNSQf6h24vLamatex88XIEk65Vx983iVKE7QdhSu3hTIrhFPmdit5tArhdzYRtcv6EEvQrDEV9R23VOWOz3vPPF7sOY0eyHcupNUnYqnNmklxt7X9jdYJU2Dd7/trCjThxgD"
},
{
"url": "https://arxiv.org/pdf/2605.31183",
"type": "web_search_result",
"title": "Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/pdf/2605.12770",
"type": "web_search_result",
"title": "WriteSAE: Sparse Autoencoders for Recurrent State",
"page_age": null,
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"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit — Lacuna",
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"type": "web_search_result",
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}
],
"tool_use_id": "srvtoolu_01Q15SudwVqV89jfxEFPS2pC"
}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_0154xMjjqk57NYKsXhiBVndf/cell.py\", line 9, in <module>\n for x in r[:5]:print(x['title'],x['url'],x['content'][:600],'\\n')\n ~^^^^^^^^^\nTypeError: string indices must be integers, not 'str'\n",
"content": [],
"return_code": 1,
"encrypted_stdout": "Eo4BCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDOhoY34sbv0Tf5cm+RoMXTv3Uqhco/5z4Bq6IjCrZDdjkfTz6DVUqvJR3UiK+S2yGj/mPGBWXBs9j+SIL4F9PfaT5EYJdgADcx7bFXAqEnXWQW/2Z32uejrx6gXuyEarchgD"
},
"tool_use_id": "srvtoolu_0154xMjjqk57NYKsXhiBVndf"
}Calls code_execution
{
"code": "import json\nfor q in [\"Jiang 2025 interpretable embeddings sparse autoencoders data analysis toolkit model behavior differences\",\"HypotheSAEs sparse autoencoders hypothesis generation LLM baselines\"]:\n r=await web_search({\"query\":q})\n if isinstance(r,str): r=json.loads(r)\n for x in r[:4]:\n if isinstance(x,dict): print(x.get('title'),x.get('url'),str(x.get('content'))[:500],'\\n')\n else: print(str(x)[:300])"
}Calls web_search
{
"query": "Jiang 2025 interpretable embeddings sparse autoencoders data analysis toolkit model behavior differences"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01TUjWYMKNpbhETE9e88Zv68"
},
"content": [
{
"url": "https://openreview.net/forum?id=mqJbhBMFm5",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit",
"page_age": "411 days ago",
"encrypted_content": "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"
},
{
"url": "https://www.alphaxiv.org/overview/2512.10092v1",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit",
"page_age": "339 days ago",
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/pdf/2512.10092",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://icml.cc/virtual/2026/poster/65388",
"type": "web_search_result",
"title": "ICML Poster Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit",
"page_age": "96 days ago",
"encrypted_content": "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"
},
{
"url": "https://huggingface.co/papers/2512.10092",
"type": "web_search_result",
"title": "Paper page - Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit",
"page_age": "335 days ago",
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"url": "https://arxiv.org/pdf/2511.06048",
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"url": "https://arxiv.org/pdf/2605.18229",
"type": "web_search_result",
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{
"url": "https://awesomepapers.io/generative-models/papers/2512.10092",
"type": "web_search_result",
"title": "Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit — Generative Models",
"page_age": "428 days ago",
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}web_search_tool_result
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{
"url": "https://arxiv.org/abs/2502.04382",
"type": "web_search_result",
"title": "[2502.04382] Sparse Autoencoders for Hypothesis Generation",
"page_age": "527 days ago",
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"title": "GitHub - rmovva/HypotheSAEs: HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382 · GitHub",
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"url": "https://proceedings.mlr.press/v267/movva25a.html",
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"title": "Sparse Autoencoders for Hypothesis Generation",
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"title": "GitHub - psnandini/HypotheSAEs: HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382 · GitHub",
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"title": "Sparse Autoencoders for Hypothesis Generation · Pith Review",
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}
],
"tool_use_id": "srvtoolu_014rR7Tija4Z6pDZCfofL3Tz"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "encrypted_code_execution_result",
"stderr": "",
"content": [],
"return_code": 0,
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},
"tool_use_id": "srvtoolu_01TUjWYMKNpbhETE9e88Zv68"
}thinking
Calls update_canonical_form
{
"claim_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34",
"new_text": "In API-only model diffing, SAE methods suit token- and formatting-level output differences, while LLM methods suit abstract behavioral ones.",
"reasoning": "The old wording (\"low-level model details\") could be read as model internals; the source (Kempf et al. 2026) and the parent question's edge mean low-level features of model outputs (specific tokens, formatting) in API-only diffing, where the SAE reads output text through a separate reader model. Stating the setting and the kind of difference makes the words carry the meaning the structure relies on, without changing what is asserted. Suggested by the sibling claim's Steward."
}Calls add_argument
{
"name": "The argument from the abstraction-level comparison in API-only diffing",
"stance": "for",
"claim_id": "653e653c-cda0-4e4c-bfe2-de7f99acee34",
"description": "In a head-to-head comparison, the SAE pipeline's hypotheses named tokens and syntax while the LLM pipeline's named behaviours, so each suits its level."
}