Run step
Step 9: assistant
thinking
Calls code_execution
{
"code": "print(0.546/0.630, 0.546/0.602, 0.546/0.777, 0.470/0.764, 0.470/0.580, 0.546/1.075, 0.470/1.072, 0.293/0.191, 0.387/0.140)\nr = await web_search({\"query\":\"Arad Mueller Belinkov output score SAE steering AxBench reproduce\"})\nfor x in r[:6]: print(x['title'], x['url'], x['content'][:300].replace('\\n',' '))\nr = await web_search({\"query\":\"AxBench SAE steering output score feature selection follow-up HyperSteer OR \\\"SAE TS\\\" comparison Concept500\"})\nfor x in r[:6]: print(x['title'], x['url'], x['content'][:300].replace('\\n',' '))"
}Calls web_search
{
"query": "Arad Mueller Belinkov output score SAE steering AxBench reproduce"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01VhzGM48Enye4ATR37c1ot5"
},
"content": [
{
"url": "https://arxiv.org/html/2609.35367v1",
"type": "web_search_result",
"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/html/2602.10437",
"type": "web_search_result",
"title": "Control Reinforcement Learning: Token-Level Mechanistic Analysis via Learned SAE Feature Steering",
"page_age": "275 days ago",
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/pdf/2602.01716",
"type": "web_search_result",
"title": "Mechanistic Indicators of Steering Effectiveness in Large Language Models",
"page_age": null,
"encrypted_content": "EvsLCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDJBSUaxJ3ZFHVw0h4hoMXphlKnj96kpWh5BOIjAU9enTietie27K274MoOHaHq0ymaCMiT9JinB3IptvsepqULf4BgIagXQcI2v1Ckkq/gpETL4dSxFDp/6GIdYhD0BfqTRrhGe9RLWj6onG4Ut6v7tu99Bszj/N8X98CudQJZI1f7orGO3xeO8F8wpzbkSEy5/NPrUOxyG1lVZ6PUzhllDn2xs19TH3YMSnSP+DAyq6zr+cs2tIHyftcWzr6Bi0p1TbF1S5o1dwVQETUyBdMiudmdDU9Pi52hEjfnHnw8wIbRtCeyot3LCkvM6jUZgGPgOYyruMeJ0Y0TbzdCEz19P7Ywg3wVAKuSW/j9RWAaJpXIBNCpeski3Hpwihht0iRkerNDYBCpiOOiuPrskGJqau/KWC5Dah0uZ3rnLzrDEoilRnnrK9pej9hMxHsAaeLtH04QcTDrZpqYcOzA9do63SQlsiY1SKWy57AoP1qRp4N98FLwo19IHHGQczhfJ9f2aWQ4dxWC/0vko+rf7NmGsINPQQArB0gwwfn5H8JaqYAP75tP1hNNRDxB5bDygds3+hZO/L5atfzTB/f9OYz2dcNow/rBVXovg+hrmh8DomJZtJFRX7UzmlY/y1qDIgXvRDP6qnMA7PXqS3SJxLFbm4efHnqJzT+t3eSdWk8lIh3uAaat4fZtmnKRqzekN2iJbyoo6/3oRRo+xZMdQJ0gKjmliWGuYAKjx6kOPZ3E3COC5W3F69GKPxheNZbjEeb23OT0IFwwW4Zy2C+o94YmpoXBydMQVIo/DYQnjjGXQPf9m1+p6UEZRZaFZrcV13D2KOJYbudHJrVq+JWLIOM+g33tWkmmqdHyrEFckv0hIOOeysrIgYB98SV3+EeFSV78FKFwjINzER6mrXOyGOhfUVNK62tcIEjzpzD72y9yOAmiM3p8bqxbQxaf8JHyRo1Yezh6SB1++knPfkb8Vi9SB2OvdGpx63q5TBTJRAqy6yiWsx3bu10T4SqdyVsAFCIF1Vxy6zka8Npif2AAZAiXfczFmql3IdKej3VhnyqiJOtH9RQLlpXd6qoJnZ3dp99UxquZj51VGIeFEpR/V4PENH4HJb20IbCDQupO3dgQjUIaBFni6oo6YIA4st+6cgXho4FcWAPu9LzoBPMcFtrtLOV0Y8jC3w470AW+B3cjj8mFECNDvrsPqigWDAySysAOfry5TOFbIwjDaV+AEXkns53EWtXwsdJDuywWQxqALT3nT3C0lwv9+lQR6QF7aFux7R/vWAd88ObcAslb0V2gprnYsz/yDTbyud75hegnMGYUASVY7G5sXiLKAlU4EgYIaLHXW1d9qy7n1piI5woJIYRMRKvTbN6I0y4x25wcunL8v9jVriB+GNW2L8zBGpf/htzrKYTR9iz1zgEDdkYVJ8pHU6EaEWPkKMTh+qRwTvPNolwt5L/fAbZMQHwR3vLRzET+UqiDNxKkC9G1IfpMacWbLLpLONWS/UfLVCZ5ZVFTAHZhFsW47x9lWPViXi3+M5cQABL48rdjFVa3np7vLAOVccBVOYPDFYgzUpu1mdlYvyJCDlHkNoGFEIjiCV5DGCAaGVUbdVua8A8VSr7yN6+Le6dTcj9Qgy07C+S/C9kGdcImZZVXWdSy5qoCrXRTmSN6y8FmX3a3tba+9to4F10ZK6v3CLN0oBif5GzGV8CSEn/MiGTx/08K3ZH2LvmpkYqaPW0ccLHct8/SYo5JRO3WgndKaoKwdoyjbxg1eldAx+0F5qLYXm2NyXFwFZm1PgkBsfeWiORGk9RJchnzldPvxRBu61VTWeK0cNGB2M/833ZTuGzhocYvcm3/nWvOZnsvQIHBrvb8uLsV/SAKXv868IJvDlWC4F8V8AgoFXr6Wkdap5M3EcAw4+y5qmlKC1GgHqFrtnHxGyEcV4YRzIuqb8LoURYSrBtcAizDNl5NGAwVyN1Z5JyCcNUhgD"
},
{
"url": "https://ar5iv.labs.arxiv.org/html/2501.17148",
"type": "web_search_result",
"title": "[2501.17148] AxBench: Steering LLMs? Even Simple BaselinesOutperform Sparse Autoencoders",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/html/2609.32355v1",
"type": "web_search_result",
"title": "Gradients for Interventions and Activations for Detection: Targeted Feature Learning in Language Models",
"page_age": null,
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"url": "https://aclanthology.org/2025.emnlp-main.519/",
"type": "web_search_result",
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{
"url": "https://arxiv.org/html/2505.20063v1",
"type": "web_search_result",
"title": "SAEs Are Good for Steering",
"page_age": "537 days ago",
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{
"url": "https://arxiv.org/html/2610.32007",
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"title": "MI-MIDI 2: From Observation to Controlwith Sparse Autoencoders in Text-to-MIDI Generation",
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{
"url": "https://www.researchgate.net/publication/392134240_SAEs_Are_Good_for_Steering_--_If_You_Select_the_Right_Features",
"type": "web_search_result",
"title": "(PDF) SAEs Are Good for Steering -- If You Select the Right Features",
"page_age": "537 days ago",
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}
],
"tool_use_id": "srvtoolu_019tdMMCNouLVXKzrZaxkC7b"
}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_01VhzGM48Enye4ATR37c1ot5/cell.py\", line 10, in <module>\n for x in r[:6]: print(x['title'], x['url'], x['content'][:300].replace('\\n',' '))\n ~^^^^^^^^^\nTypeError: string indices must be integers, not 'str'\n",
"content": [],
"return_code": 1,
"encrypted_stdout": "EroCCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDOrHYBoRnWBO0vud0RoMowbyeIeTOhTncMEbIjAAhpMnLfplIY81PMldlFw6GrIzvpnW3nEfcSq1iLrYZ3xafNJM0VsA47Ue98zqobcqvQFgcYzKpsILrg6jVfcFPGD4YtG2i+G2ZhR47a5x3/33nKKvNecCL/HuGibDXuVo+ig8avYdtcBDKZFkfPHKDCsTdPr9Z2aXTDIWzIbTz7jFjUSionHUxOZ0Ds4FC0LtCs/nAumJ021hCb96Em6cE5ZdNZh8RB88CeY5cvcCpH5htpaWFXffg9WlUY31d43k/uZeDngpGh1ku974f3rbQ76WnjXQKKWpIXVLFZQHqWKOK5q+b+VLGBADVpop6MAYAw=="
},
"tool_use_id": "srvtoolu_01VhzGM48Enye4ATR37c1ot5"
}Calls code_execution
{
"code": "import json\nfor q in [\"Arad Mueller Belinkov output score SAE steering AxBench\",\"\\\"SAEs Are Good for Steering\\\" reproduction OR critique\",\"AxBench Concept500 SAE steering output score filtering comparison 2025 2026\"]:\n r = await web_search({\"query\":q})\n if isinstance(r,str): r=json.loads(r)\n for x in r[:6]: print(x.get('title'), x.get('url'), (x.get('content') or '')[:250].replace('\\n',' '))\n print('---')"
}Calls web_search
{
"query": "Arad Mueller Belinkov output score SAE steering AxBench"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_016L23EYnf7JkdsY3NzW6VAX"
},
"content": [
{
"url": "https://arxiv.org/html/2609.35367v1",
"type": "web_search_result",
"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
"page_age": null,
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},
{
"url": "https://arxiv.org/html/2602.10437",
"type": "web_search_result",
"title": "Control Reinforcement Learning: Token-Level Mechanistic Analysis via Learned SAE Feature Steering",
"page_age": "275 days ago",
"encrypted_content": "Es4JCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDBcS77RhWpTw3vFxNBoM+ecWRKpIPzFo/m1EIjB9HwBqLaEzr5xQayiIJkx1LAdHF4EwUKtJt01t1i/7ZMrmR/6h0fgelqFYUBVUOdUq0QhxWH8YPmFiVyQ4hLCWktbFnObQfOD6Xijgc5QJDG1xcZKfkPFImNDXxIZrSYyqPgxbMK/XvFvOfh9YY/wCAdKVIUQK7nk/5an/WC5WO9lrJJbbq3ahgZJ228fjxEdNqMv0KC4nPr+lwUMYwHlAedhSM88V/UNI0qWJh+zS/jhron4GdWAAFUpZnIr9Gexgqg/ARirMUgVX+scOwik2CGArKjXBQoe8slXClEe3wHGdqttVLiX0auH6DBbr7x0tWbWQ8FhD6LDFZHGFGjUD9cH/4G3nv6Vf0np0KiJ5z29qe6EP2JQGuxUDrCTqk0vBFWKzFnHDk5UV3RiBLI3HT0/upDPmlKTR5iBy6KkKv4zHgtmLIkCsNCqMlBDfiI1KpT3ftJIGRN/yAbzeiFOr7xdT29UAtcDp0JCABFYIGc6BHedL+nddQTFi04Yy0smMfCWRC90lx3915uDUJRerWf5gblta2hUwVT116NDdRtYkaDaWSNyqtSpmVaD40lAneNoDPYYahsyaql3JSMbR0jydqrT8PRcVzv0kv3IjqUan3Rpd3NEMapSn+YPWPk0cyeCl/B98+hBSdNKoFF+scMffGihBPvXXh4BCafaabXMrpyP3GPokYb0KbvKTD09Xhr4tHXwwaqFtmbh8xxy+jnzU1zpTf+cPvE/JNFn4VDM5/M9VZqCY1IOBThZjW+YWP0WphSZ3RvEROLONFHfOc/UGaQf2tIyg7qGiAFM3iJk66noOpwZ0bJG8s6uQMt6Ju57cD6NwocokOvpYIq3taNtA+oH5CJ4ZMjlkOb9ezPhtx+TVthpNPUF2s4TIbjhyIjPNAbki0rZzo/BqV2O88QwuibyvrYhFbBysiLJj5M+26URK9EsVtZeT7G6utF3CYaUKGOjg18KncuW+7ZL9xVCMbhydW0kch9fzAzPbvJile3SzsEcwRq+em5gGM53yCkbM7nkGqhvnozT97m6nvSXBiYwFb35w25DYcYy3T/E5FkuFW91Y+ZAE5Od75z1jFexg6kZSjN28TnNPem0MZxjlny/s0oURXPSkyRkcct35lc2cRP4LPZ4L6gJWhOUAehEIzGCksR3tlUFTAFR/1KnNezk1or1IvE/9IhbjDtI7r30bKBh3fO5qK0N4DFFVxpz534VpM8fHv+JM+vZ6fKMfi/0ro4cHSe40KqjP4ScIp5LgD5NXaspeZrmy4VDbuFqOCvOJxv98SvVbtl7bi5f4Y9WOKsKYUlBwYcGwkL+DsmYukUq8xJh7qp66nn36T0Qkn4WoBxDB99psS4g6Sr7wIn8wfwNHUGGV18xj6+fZdf/L4LoIKp9j7TjAgA9iBH9yCB/SmO0bLZCPOWMOZDZK9E6g3tyxElorixubE3EGyiPIlg4D4SPt/b3cPTRmWkEZNWwJyo88LchsGFcnpt1Yo6i3h/vPoBgpa7ol0Bup877+Jh1n8OJutzJ0oshhoMTzGAM="
},
{
"url": "https://arxiv.org/html/2610.27295v1",
"type": "web_search_result",
"title": "1Introduction",
"page_age": null,
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},
{
"url": "https://arxiv.org/html/2609.32355",
"type": "web_search_result",
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{
"url": "https://arxiv.org/html/2510.03659v1",
"type": "web_search_result",
"title": "Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders",
"page_age": "406 days ago",
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{
"url": "https://aclanthology.org/2025.emnlp-main.519/",
"type": "web_search_result",
"title": "SAEs Are Good for Steering",
"page_age": "366 days ago",
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},
{
"url": "https://arxiv.org/html/2505.20063v1",
"type": "web_search_result",
"title": "SAEs Are Good for Steering",
"page_age": "537 days ago",
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"url": "https://www.researchgate.net/publication/392134240_SAEs_Are_Good_for_Steering_--_If_You_Select_the_Right_Features",
"type": "web_search_result",
"title": "(PDF) SAEs Are Good for Steering -- If You Select the Right Features",
"page_age": "537 days ago",
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},
{
"url": "https://ar5iv.labs.arxiv.org/html/2501.17148",
"type": "web_search_result",
"title": "[2501.17148] AxBench: Steering LLMs? Even Simple BaselinesOutperform Sparse Autoencoders",
"page_age": null,
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}
],
"tool_use_id": "srvtoolu_018djAzMGtKyvAryWR9NDhYf"
}Calls web_search
{
"query": "\"SAEs Are Good for Steering\" reproduction OR critique"
}web_search_tool_result
{
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"type": "code_execution_20260120",
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},
"content": [
{
"url": "https://arxiv.org/pdf/2609.08173",
"type": "web_search_result",
"title": "Key Path Identification for Resolving Knowledge Conflicts via SAE-based Steering",
"page_age": null,
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{
"url": "https://arxiv.org/pdf/2604.14090",
"type": "web_search_result",
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{
"url": "https://arxiv.org/pdf/2505.08080",
"type": "web_search_result",
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{
"url": "https://arxiv.org/pdf/2606.26620",
"type": "web_search_result",
"title": "Discovering Millions of Interpretable Features with Sparse Autoencoders",
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{
"url": "https://arxiv.org/pdf/2511.00029",
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{
"url": "https://www.lesswrong.com/posts/vNCAQLcJSzTgjPaWS/standard-saes-might-be-incoherent-a-choosing-problem-and-a",
"type": "web_search_result",
"title": "Standard SAEs Might Be Incoherent: A Choosing Problem & A “Concise” Solution — LessWrong",
"page_age": "744 days ago",
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},
{
"url": "https://arxiv.org/pdf/2602.12418",
"type": "web_search_result",
"title": "Sparse Autoencoders are Capable LLM Jailbreak Mitigators",
"page_age": null,
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},
{
"url": "https://arxiv.org/pdf/2510.03659",
"type": "web_search_result",
"title": "Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders",
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}
],
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}Calls web_search
{
"query": "AxBench Concept500 SAE steering output score filtering comparison 2025 2026"
}web_search_tool_result
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"caller": {
"type": "code_execution_20260120",
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},
"content": [
{
"url": "https://arxiv.org/html/2609.35367",
"type": "web_search_result",
"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
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},
{
"url": "https://arxiv.org/html/2505.20063v1",
"type": "web_search_result",
"title": "SAEs Are Good for Steering",
"page_age": "537 days ago",
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{
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"type": "web_search_result",
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"url": "https://arxiv.org/html/2505.20063v2",
"type": "web_search_result",
"title": "SAEs Are Good for Steering",
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"title": "(PDF) SAEs Are Good for Steering -- If You Select the Right Features",
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"type": "web_search_result",
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"url": "https://arxiv.org/pdf/2609.13072",
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"
},
"tool_use_id": "srvtoolu_016L23EYnf7JkdsY3NzW6VAX"
}thinking
Calls code_execution
{
"code": "for q in [\"2609.35367 DAFI output-score filter AxBench results table\",\"2602.10437 Arad et al. output score AxBench\"]:\n r = await web_search({\"query\":q})\n if isinstance(r,str): r=json.loads(r)\n for x in r[:3]:\n c=x.get('content') or ''\n i=c.find('Arad')\n print(x.get('url'), c[max(0,i-800):i+1500].replace('\\n',' '))\n print('==')"
}Calls web_search
{
"query": "2609.35367 DAFI output-score filter AxBench results table"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01HgcUX2NzhKjF5WUPGQQp3n"
},
"content": [
{
"url": "https://arxiv.org/html/2609.35367",
"type": "web_search_result",
"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
"page_age": null,
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"url": "https://arxiv.org/abs/2609.35367",
"type": "web_search_result",
"title": "[2609.35367] From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
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"url": "https://arxiv.org/pdf/2603.20807",
"type": "web_search_result",
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{
"url": "https://arxiv.org/pdf/2609.08196",
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{
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}web_search_tool_result
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{
"url": "https://arxiv.org/html/2602.10437",
"type": "web_search_result",
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{
"url": "https://arxiv.org/html/2609.35367v1",
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"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
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{
"url": "https://arxiv.org/pdf/2609.08196",
"type": "web_search_result",
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"url": "https://www.semanticscholar.org/paper/AxBench:-A-Benchmark-Suite-for-Approximate-Across-Yazdanbakhsh-Mahajan/d3fa8415ef6ce9036b80419ba3e9528080250437",
"type": "web_search_result",
"title": "AxBench: A Benchmark Suite for Approximate Computing Across the System Stack",
"page_age": "3514 days ago",
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"url": "https://www.semanticscholar.org/paper/AxBench:-A-Multiplatform-Benchmark-Suite-for-Yazdanbakhsh-Mahajan/ffd75e589e004202c92fbe39676fb54cc9d01ce2",
"type": "web_search_result",
"title": "[PDF] AxBench: A Multiplatform Benchmark Suite for Approximate Computing",
"page_age": "3347 days ago",
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"url": "https://www.researchgate.net/publication/310778578_AxBench_A_Multiplatform_Benchmark_Suite_for_Approximate_Computing",
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"title": "AxBench: A Multiplatform Benchmark Suite for Approximate Computing",
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],
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"
},
"tool_use_id": "srvtoolu_01HgcUX2NzhKjF5WUPGQQp3n"
}thinking
Calls code_execution
{
"code": "r = await web_search({\"query\":\"DAFI \\\"Output Score Filter Analysis\\\" Gemma-2-2B AxBench protocol gpt-4o-mini filter retains pairs\"})\nif isinstance(r,str): r=json.loads(r)\nfor x in r[:3]:\n c=x.get('content') or ''\n i=c.find('Appendix N')\n print(x.get('url'), c[max(0,i-200):i+3000].replace('\\n',' '))"
}Calls web_search
{
"query": "DAFI \"Output Score Filter Analysis\" Gemma-2-2B AxBench protocol gpt-4o-mini filter retains pairs"
}web_search_tool_result
{
"type": "web_search_tool_result",
"caller": {
"type": "code_execution_20260120",
"tool_id": "srvtoolu_01NothAFasTmcPd4G2HazoMi"
},
"content": [
{
"url": "https://arxiv.org/html/2609.35367",
"type": "web_search_result",
"title": "From Input to Output: A Flexible Agent for Dual-End Interpretation of Sparse Autoencoder Features",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://arxiv.org/pdf/2411.02059",
"type": "web_search_result",
"title": "TableGPT2: A Large Multimodal Model with Tabular Data Integration",
"page_age": null,
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"page_age": "234 days ago",
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},
{
"url": "https://arxiv.org/pdf/2503.19498",
"type": "web_search_result",
"title": "DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts",
"page_age": null,
"encrypted_content": "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"
},
{
"url": "https://huggingface.co/pyvene/gemma-diffmean-2b-it-res",
"type": "web_search_result",
"title": "pyvene/gemma-diffmean-2b-it-res · Hugging Face",
"page_age": "641 days ago",
"encrypted_content": "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"
}
],
"tool_use_id": "srvtoolu_0152KfVACdjzmSBk5Acv2Gy3"
}code_execution_tool_result
{
"type": "code_execution_tool_result",
"content": {
"type": "encrypted_code_execution_result",
"stderr": "",
"content": [],
"return_code": 0,
"encrypted_stdout": "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"
},
"tool_use_id": "srvtoolu_01NothAFasTmcPd4G2HazoMi"
}thinking
Calls match_claim
{
"text": "Selecting SAE features by high output score improves their steering performance relative to unfiltered SAE features.",
"exclude_claim_id": "d3311aac-502f-4e69-ab97-53ee2b6de622"
}