Run step
Step 15: assistant
{
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autoencoder probe spurious correlation dense probe generalization Bias in Bios\\\",\\n\\\"SAE latents sparse probe spurious correlation robustness worst-group accuracy\\\",\\n\\\"SAEBench spurious correlation removal SCR metric\\\",\\n\\\"sparse autoencoder features classifiers spurious correlations 2025 arxiv\\\"]\\nfor q in qs:\\n r=await web_search({\\\"query\\\":q})\\n print(\\\"==\\\",q)\\n for x in r[:6]:\\n print(x.get('title'),x.get('url'));print(x.get('content','')[:300].replace(\\\"\\\\n\\\",\\\" \\\"))\"}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_016qmNnv5HU6YKDicpDVNmNH\",\"name\":\"web_search\",\"input\":{\"query\":\"sparse autoencoder probe spurious correlation dense probe generalization Bias in Bios\"},\"caller\":{\"type\":\"code_execution_20260120\",\"tool_id\":\"srvtoolu_014dY7yWYVqkk7Lttevj7cSR\"}},{\"type\":\"web_search_tool_result\",\"tool_use_id\":\"srvtoolu_016qmNnv5HU6YKDicpDVNmNH\",\"content\":[{\"type\":\"web_search_result\",\"title\":\"Ensembling Sparse Autoencoders\",\"url\":\"https://arxiv.org/pdf/2505.16077\",\"encrypted_content\":\"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\",\"page_age\":null},{\"type\":\"web_search_result\",\"title\":\"Are Sparse Autoencoders Useful? A Case Study in Sparse Probing\",\"url\":\"https://arxiv.org/pdf/2502.16681\",\"encrypted_content\":\"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\",\"page_age\":null},{\"type\":\"web_search_result\",\"title\":\"Evaluating Sparse Autoencoders on Targeted Concept Erasure 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Update)\",\"url\":\"https://deepmindsafetyresearch.medium.com/negative-results-for-sparse-autoencoders-on-downstream-tasks-and-deprioritising-sae-research-6cadcfc125b9\",\"encrypted_content\":\"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\",\"page_age\":\"598 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models\",\"url\":\"https://arxiv.org/html/2411.00743\",\"encrypted_content\":\"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\",\"page_age\":\"743 days ago\"},{\"type\":\"web_search_result\",\"title\":\"(PDF) Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks\",\"url\":\"https://www.researchgate.net/publication/386335225_Evaluating_Sparse_Autoencoders_on_Targeted_Concept_Erasure_Tasks\",\"encrypted_content\":\"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\",\"page_age\":\"718 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Improving Robustness In Sparse Autoencoders via Masked Regularization\",\"url\":\"https://arxiv.org/pdf/2604.06495\",\"encrypted_content\":\"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\",\"page_age\":null}],\"caller\":{\"type\":\"code_execution_20260120\",\"tool_id\":\"srvtoolu_014dY7yWYVqkk7Lttevj7cSR\"}},{\"type\":\"code_execution_tool_result\",\"tool_use_id\":\"srvtoolu_014dY7yWYVqkk7Lttevj7cSR\",\"content\":{\"type\":\"encrypted_code_execution_result\",\"encrypted_stdout\":\"EucBCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDHbh6qfI/sgEuJJRchoMwi8b3lsMC/tbVNnLIjBKBaF5wRKZzYN8xORtnXWsVRC1cNaNgTqbQVEc4BiBgCBAFop9ekBPRE1MduA1kscqa77b0PE1WwO+K0LkpNLlG142PJA5w07KvmdC0qUcuyTXqfZ8pJ5z4anNWmn2AA7gyFiKT2vxXTG6JYS+ZjsbyJc+1K83tuMtaYXEUUKMvPFy0rp4WQkbG8IDe7a5HVNw0LbPmafp24t0IiIfGAM=\",\"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_014dY7yWYVqkk7Lttevj7cSR/cell.py\\\", line 16, in <module>\\n print(x.get('title'),x.get('url'));print(x.get('content','')[:300].replace(\\\"\\\\n\\\",\\\" \\\"))\\n ^^^^^\\nAttributeError: 'str' object has no attribute 'get'\\n\",\"return_code\":1,\"content\":[]}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_01G6XHjmdjxkGSyrbv5YiopE\",\"name\":\"code_execution\",\"input\":{\"code\":\"import json\\nfor q in qs:\\n r=await web_search({\\\"query\\\":q})\\n if isinstance(r,str): r=json.loads(r)\\n print(\\\"==\\\",q)\\n for x in r[:6]:\\n if isinstance(x,str): print(x[:200]);continue\\n print(x.get('title'),x.get('url'));print((x.get('content') or '')[:300].replace(\\\"\\\\n\\\",\\\" \\\"))\"}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_01EPcEjbBsDDNw3rNpQRkrTr\",\"name\":\"web_search\",\"input\":{\"query\":\"sparse autoencoder probe spurious correlation dense probe generalization Bias in Bios\"},\"caller\":{\"type\":\"code_execution_20260120\",\"tool_id\":\"srvtoolu_01G6XHjmdjxkGSyrbv5YiopE\"}},{\"type\":\"web_search_tool_result\",\"tool_use_id\":\"srvtoolu_01EPcEjbBsDDNw3rNpQRkrTr\",\"content\":[{\"type\":\"web_search_result\",\"title\":\"Ensembling Sparse Autoencoders\",\"url\":\"https://arxiv.org/pdf/2505.16077\",\"encrypted_content\":\"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\",\"page_age\":null},{\"type\":\"web_search_result\",\"title\":\"Are Sparse Autoencoders Useful? A Case Study in Sparse 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Results for Sparse Autoencoders On Downstream Tasks and Deprioritising SAE Research (Mechanistic Interpretability Team Progress Update)\",\"url\":\"https://deepmindsafetyresearch.medium.com/negative-results-for-sparse-autoencoders-on-downstream-tasks-and-deprioritising-sae-research-6cadcfc125b9\",\"encrypted_content\":\"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\",\"page_age\":\"598 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models\",\"url\":\"https://arxiv.org/html/2411.00743\",\"encrypted_content\":\"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\",\"page_age\":\"743 days ago\"},{\"type\":\"web_search_result\",\"title\":\"(PDF) Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks\",\"url\":\"https://www.researchgate.net/publication/386335225_Evaluating_Sparse_Autoencoders_on_Targeted_Concept_Erasure_Tasks\",\"encrypted_content\":\"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\",\"page_age\":\"718 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Improving Robustness In Sparse Autoencoders via Masked Regularization\",\"url\":\"https://arxiv.org/pdf/2604.06495\",\"encrypted_content\":\"Es0NCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDB4FR3+Kbbcju/zpqRoMeChv0FyiDr8tI0v7IjCqpKwclstHtpvYi8OODJB27Mjm45ZNLMRN6kZUYY79QwiwimDRHKTs0ezEkGRnS3Mq0Aymf6Wz9Z1A22lMKI/i1BcnQdF1IVEl58zAdOL+Spahr6TG4LSR6umw3Mu/jC9OkbIFY1AxNrmqeGKZr3IIompJaFGfxYdWImHDk1x8rk/jiylIQ6iGch8PvoleBicoiZbv297r9ZuF+E/YKMuvoB5+tgKMtR7e6WDoHCUiiwgk5sN/l6qb3UDufw7+Uew7FvO1TIVwEgTwoLIevPgpoboou9jduzuZyjZ0eUFPnqIUSzRu3sTsFy40XChsxNYKmYi1cghejC7N4oCoDmx1RE2M8EPfidmtxSh5yG/dFEvVm6QGD8IDU6GUBvJv9FWSyD4aUVeDOIgpkOpL3iwDX/WgAi6n39GGNmZid+fPAoqgiw1et5NWfjpOTrZFtBv3g/0f7xytwLSBoTBNPY3Xf8bZ8XccmDbx7MMMvu4a6okPJzwzPafNIDDlPpY0qprdEsHyONXZt959WAMTAngEm4zryKkFBltqyP6NJs3bir4b0EQEgO3NZDpMtjA3VhpRQICkFy6dfk8Zd85Hu8cvuzJWcWS+hUu8ZN8HxeohVlV1hR5ukpaS6UpJIfJYVS064GQVvc/a70Z2TVOlOo+6ScX4uebthhnjuYwPBZobJuhkIQ153a547roM6HsoYIAqWFeuVnPw3PBFZ2tJzOR+aZDjwUk3hkAnLhmY7pVYzPQfWAcNRRuAgw2ZkiKcL7G0m0MSy1zWPftvyELm5wAzXAKnb5DjR9zrKPDRbjqw5kJt6MajGWAzA0f23akmsseR7/xfxeLfMwcgbmdK57Vtst5poJeFZjAwzhupWw7Oh6Rb95enSbVpnp5dWYec69Co/z8qwnae0g6zz7r+hke4XScX+prvW47vgCsUkj3oVpB4pd8kVXbt+xmbBvxcgcv9r+0qkbOqU4no90sb2AVKbfufSfF3Z3jirQbbTdIChEe5+Y24mXHeKkSroxPIq1qjcRcuDsceXMh6z+LqGbWEomdc+YZ9ql7NI73CDUes2oEBRuoU0SdFC4EHLVL0pbmnt4tMqXCHDDxS/mfO6NmNBrvaqIaM5ZhTJXEuc4pzJrO9bFl7Md/cPClEQYCJ9i+vlTrxNmFk7KU7Z+j6H/ZI2LeJTBPy49bgtLsASapQk2Y+bDimYcFlOzPbfGnzEVkfMSU6oQye47usegGsopQzc6pelvXWaPyjdKoA7MdTCSNjpsBzgl0LUa8MLA2pXzwA3U/U/F8t0AXRA3BP7t6je2vCFYhiWSGqP/2nvqA7xBBaU90zSbrGw/e3KCybwEEN7EVw9FXQeSwqfiQB2ivSspwvHqqyxyJZGF+ST1gD8DkSOiltXwGCFz9tYqRR6DCXzqTZ95bHFeV4TYR5+sPQjQwUIwm+AguCMKWLxBs9fi4vyq+QF3NldvM4vyV7d9Sd8mwDNOzJikAnn3KuErePCZJnHLmLYHB84STiNlwQ67Ku48sTBJi3yA99xCqx/S1btnJPMACb2DKDfDJivsplH32yP0+eK0yXNj8HtLpJslHD0PhHh8KlhsuGhGTZZm15nGyMK+vmn9T7gsL4VUpYEhhfNQ49SQ/lkszDYeu2StRTDinnd7TSOQ/1lXukjXRMvTJZC7wZonCC4lLXC/GU2k/ZGQYXxjwjZciN4Wli7FJWOI0FbE2+O8UyaQLsd90O1YJu1QxaD4x2ER1bDlrJWNqlipjR/4Za/I7KeE9reqw5ezwS5G9LgqMcpbLZNB2IKjzwWMzlHs8m5hc07/+1fwxsPMVMbOFfUXqVvPvbJrovBOJVRSz9gHijEdRkdgkrDoa2cXFa3yFlC5p7D5f5LTdjaqxu5g9nwcl6w+uDA7GlkjanLqEGRD8d2XJiVpX4Wl37XOkqU0j0Lnhv4svnG5sG6wxo+pVMA+3Zz4EcdLmb5UEfQ6GmXrAk2eTWogCt7wfeaBiTrM77JZll8eJJ2PlprbRYfUEk5+8U09ZxiYcCXRR3dJeePJ0zT95h2vM8CP5piOD3m/Pti+I65GRn31Gsk3XVwob6n5wbjg1MIcv/TYI7+lvnBv2btE81vKOuWCRhlfmvDj2GYmPAPB+Pn2J9Vj+6smHnwv1TWZgl/oKbNurhVfKTdswP8MekR/ybG+0QWk76+aMcfFrasDnWlXQ/WnBlO6jOTG20k/fREvGi/hgD\",\"page_age\":null}],\"caller\":{\"type\":\"code_execution_20260120\",\"tool_id\":\"srvtoolu_01G6XHjmdjxkGSyrbv5YiopE\"}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_014KfrSpjC8tBPm8GEx3vdrt\",\"name\":\"web_search\",\"input\":{\"query\":\"SAE 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Regularization\",\"url\":\"https://arxiv.org/pdf/2604.06495\",\"encrypted_content\":\"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\",\"page_age\":null},{\"type\":\"web_search_result\",\"title\":\"(PDF) Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks\",\"url\":\"https://www.researchgate.net/publication/386335225_Evaluating_Sparse_Autoencoders_on_Targeted_Concept_Erasure_Tasks\",\"encrypted_content\":\"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\",\"page_age\":\"718 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Are Sparse Autoencoders Useful? A Case Study in Sparse 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Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update #2) — 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Analysis of Variational Sparse Autoencoders — LessWrong\",\"url\":\"https://www.lesswrong.com/posts/nPxdHt8k4bMuaC46M/analysis-of-variational-sparse-autoencoders\",\"encrypted_content\":\"EroNCioIFRgCIiRhOGFlOWMyMy1iYWVmLTRiYzctOWJjYS04YTM3MTE5YWVhMGMSDPOImaDtyKfO3F5/BBoMJ1pzSWQjxM19uWtaIjAePeoB+YB2iLclrhFMGOjQwyJOm1NGCO9/O8CBYGok6wZLAFVub+s/38J0NCwhgxIqvQxXBx9RWoPfZyXUHB5HCPqxeIs6lWsIS4LVAVqeJfJQQmAHyxJ7mrcoSA/GwFoxyhxsKlWkm52egjP42+9jTfBfaIn8RyffOcSQzuvsH4FtmWD6EnHN2qcKqVDAVQrLxM5sNV68SDq36ZQS9Gsfb/YKPZD61HAg2IqLrStibdRWd7xXl4STum15D0mWNGrk89EZFvhG7IiuT4IDTQzEYzNCvGa1HUnTv+J2U9PorvhoRnPlDJUJcaUwgtdWfbTLIE9ByutNvc9IzXXDvczRPfIXnwjOzq0bTTHDV5Fjz67oAFZ0ELi8BjGN7ZCrPKCbYPpr9S3mCJzpsxhNxz3gky+vUQiAc36i6di5nYogHyc8Q01oQHCkmoqXKrD1AbQ+akGBQx4F1vtraORpqC7pHomgQIWT12Mzh3x8tE1VtehjROeQICup0qwe7ZsbVd/U4hnX5fMhXYdv+4JAoaoTaX952IE/u2ECuFKZxjTetV60Yawsx/OnSP03gllJpEzA1eLfShqKgqA0dx2cEqUNvoFqvRZ8FgwMlRcAFbrUCm8oWM4FaS7Xs32t8r8VPdZmI62YSl1Mmqn+DMZ3bInQX8N/qllFG59Mk5oXca4AOZzLQZeb5VE1rQrZWjqcnlHlGsPdUUen298o8IjMkvWwc5l/FYLoPKibccYRx9RP6eU266l7Zd0T02cV8yP8JS2HzFfOeOhCxjsJwVDitYL8vPWw9rDjND/dAicuhfMKf7Q2+8rsF+wgoiHCQGIz1k8Syn9RAsCS6GFmAOtweCVFVOe7xr2eNF9Yme1HcfC/8v5TLgQ7tSj+Um09Ag6Ze9vSMA13qtKQ9GH9zRRLyKDYhTbTlOSN9XRJ3sy9MhP8ZiTj/Ry7vy1ftLjfOKrE6X1CtCj9xU9U7RujnzEDyYo0RHbYJ+0T8R1CUqJNJtelp1DsVhu/9hNdKxckfTc8lhSxuSsAK30h/9kr1UaXfMc/qEWcerCgkwSeUoCiJhbw0feouR7U1bkQjMbfGnuqPrhAXU/YlesmW3uMY9olJDgkgkZoieQKDSX3beY+qvr8GkW0uwnPee1nDVtmKBtXnVIPaahW+KHNzrRGDfjAormyzi3MD5Eyl5I9Mx7BbLtL5xW2vvNiGmM2DnUjSD2Dz6JpVwmv2sM2bAh39UrLQdD0WczQczptyR6trpB3u9huSzJJPgutv9YQLDiwFJ5EOsid3UKnhq2ZSE0uLiNoZ18pChuq4SYYAiFE9x85EkqdRnRSHubtbd26Zsh62UmSXpor8eRjs7P4yiVddgn1svwZpw7xlK5NLO0Ech6jFy8gTWioDYKGHX8kZH9XrKwQI6j8ICl9UCUdyNyyFhiR54QGiD+ojXvmCNA79xoD/anPyZgpiOgKA4+T/GhWJMc21tzv7ovKWbj1ak1oWwltt5zjmD50NfDSiv9ySAVcuBQYL2llkySf4c6xqpYoaUY4wHWKrHB+AirO98uFVQI6VAJgvdy3FLElHbuXwlBf69Xmuo94gJfGJGOfPvRrtP+7Y1FqICqDXWTePgpk8PT02QQWXd8fJC46/Bya2wIXTNEnZhdh0qmVBxUnf08KCoAIPhKHaV9QZ+cR4C+fukE+GVfPVo1HEAneP0veaUq/mFTKzFfX7HRONBaoKCy6OQXVGnYiWg5DREVui1S+pHsiTSZe4jIYO8eG+6GvpMqAI/EbxLU/xKC5AQNy0Y7uBUyol74UGRCATVKyJgHyqPSUmscKMg2SMUYqmnCgy5jNbDRpu48hYF70rokl0Y31gV7eCdTzOPuPYkpDYsSOL0B1uvwuacFiacMHJVtaMPWbdsocfD1FA0fw/c63p7yegF3ILwhYeSGN88JdkRY7hPRMef6588RnB/mhfgIsNle+IAnAdtlcSYVhQVxjZVdxF0RSRrGdSAbVArAzzNBpLGq2gkjinIPnZ3h7yS9SJPKmDTQ4FvqoZI2efwkk8FjdLEPp0RW0hsbEj6dtqHYPRxsZ8WwskPyP1rqrwcxBbtKlc5h0hyK/1JPH/hMqkJnWqtrJ4lT9mBcto+2QRtLTM7B94rPEgcYO5iUWzeFa71EYpfU7tPYV5nnfTWfBxE6N9Ph6qqtDJqN5OxWUDSzbzYUC7LFDGAM=\",\"page_age\":\"448 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Negative Results for Sparse Autoencoders On Downstream Tasks and Deprioritising SAE Research (Mechanistic Interpretability Team Progress 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"SAEBench: A Comprehensive Benchmark for Sparse Autoencoders - March 2025 | 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Low-Rank Adapting Models for Sparse 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Autoencoder Features for Classifications and 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features\",\"url\":\"https://arxiv.org/html/2509.22033v1\",\"encrypted_content\":\"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\",\"page_age\":\"414 days ago\"},{\"type\":\"web_search_result\",\"title\":\"A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models\",\"url\":\"https://arxiv.org/html/2503.05613\",\"encrypted_content\":\"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\",\"page_age\":\"417 days ago\"},{\"type\":\"web_search_result\",\"title\":\"(PDF) Sparse Autoencoder Features for Classifications and Transferability\",\"url\":\"https://www.researchgate.net/publication/389090793_Sparse_Autoencoder_Features_for_Classifications_and_Transferability\",\"encrypted_content\":\"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\",\"page_age\":\"637 days ago\"},{\"type\":\"web_search_result\",\"title\":\"1SAE probes underperform the baseline of logistic regression in each regime when taking the mean across datasets. Additionally, we find that baseline methods can provide many of the interpretability insights of SAE probes.\",\"url\":\"https://arxiv.org/html/2502.16681v1\",\"encrypted_content\":\"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\",\"page_age\":\"629 days ago\"},{\"type\":\"web_search_result\",\"title\":\"[2505.11756] Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders\",\"url\":\"https://arxiv.org/abs/2505.11756\",\"encrypted_content\":\"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\",\"page_age\":\"415 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Feature Hedging: Correlated Features Break Narrow Sparse 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\",\"stderr\":\"\",\"return_code\":0,\"content\":[]}},{\"type\":\"thinking\",\"thinking\":\"\",\"signature\":\"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\"},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_01A3L8gRXM14MTX4wwrcLeTL\",\"name\":\"code_execution\",\"input\":{\"code\":\"qs=[\\\"k-sparse probe SAE latents versus logistic regression confounded training data spurious feature out-of-distribution\\\",\\n\\\"sparse autoencoder probes shortcut learning text classification spurious correlation comparison linear probe\\\",\\n\\\"SAE probe generalizes better than linear probe spurious correlation positive result\\\",\\n\\\"\\\\\\\"sparse probing\\\\\\\" SAE \\\\\\\"spurious\\\\\\\" \\\\\\\"Bias in Bios\\\\\\\" ambiguous dataset sparse probe worst-group\\\"]\\nfor q in qs:\\n r=await web_search({\\\"query\\\":q})\\n print(\\\"==\\\",q)\\n for x in r[:6]:\\n if isinstance(x,str): print(x[:200]);continue\\n print(x.get('title'),x.get('url'));print((x.get('content') or '')[:300].replace(\\\"\\\\n\\\",\\\" \\\"))\"}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_018zGDQJDwnPxC6UY6EWwzSa\",\"name\":\"web_search\",\"input\":{\"query\":\"k-sparse probe SAE latents versus logistic regression confounded training data spurious feature 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Studying Feature Splitting and Absorption in Sparse 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ROBUSTNESS IN SPARSE AUTOENCODERS VIA MASKED 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Sparse Autoencoder Benchmarks 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update #2) — AI Alignment 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"A IS FOR ABSORPTION: STUDYING FEATURE SPLIT-\",\"url\":\"https://arxiv.org/pdf/2409.14507v3\",\"encrypted_content\":\"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\",\"page_age\":null}],\"caller\":{\"type\":\"code_execution_20260120\",\"tool_id\":\"srvtoolu_01A3L8gRXM14MTX4wwrcLeTL\"}},{\"type\":\"server_tool_use\",\"id\":\"srvtoolu_011zaC3Ke2KyoXHY2G3Yne1X\",\"name\":\"web_search\",\"input\":{\"query\":\"sparse 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Are Sparse Autoencoders Useful? A Case Study in Sparse 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days ago\"},{\"type\":\"web_search_result\",\"title\":\"Negative Results for Sparse Autoencoders On Downstream Tasks and Deprioritising SAE Research (Mechanistic Interpretability Team Progress Update)\",\"url\":\"https://deepmindsafetyresearch.medium.com/negative-results-for-sparse-autoencoders-on-downstream-tasks-and-deprioritising-sae-research-6cadcfc125b9\",\"encrypted_content\":\"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\",\"page_age\":\"598 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Bridging Explainability and Embeddings: BEE Aware of Spuriousness\",\"url\":\"https://arxiv.org/pdf/2410.18970\",\"encrypted_content\":\"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\",\"page_age\":null},{\"type\":\"web_search_result\",\"title\":\"Are Sparse Autoencoder Benchmarks Reliable?\",\"url\":\"https://arxiv.org/html/2605.18229v1\",\"encrypted_content\":\"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\",\"page_age\":\"180 days ago\"},{\"type\":\"web_search_result\",\"title\":\"Ensembling Sparse 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