{ "format": "oscr-script-manifest/1", "repository": "github.com/minhxle/subliminal-learning", "url": "https://github.com/MinhxLe/subliminal-learning", "host": "github.com", "commit": "db04f4150edf940559b5f3147f65d808e9313efd", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "6233c2902ac62ad5f0eb1279739f3052fd58491ba3467abdb7e539aa71caf682", "language": "License", "lines": 21, "truncated": false, "block": 9, "row": 2756 }, { "path": "README.md", "sha256": "147bb7d6f2b1e03ec08255271dc7e9d1b451ec9c1cb42d95ae79f013005e6138", "language": "Text", "lines": 213, "truncated": false, "block": 9, "row": 14677 }, { "path": "cfgs/misalignment/evaluation.py", "sha256": "73374a3ef13ddc9a184908c4a89b54e0634fa5882e4b1a023d16c85bd7bbb002", "language": "Python", "lines": 70, "truncated": false, "block": 9, "row": 8772 }, { "path": "cfgs/preference_numbers/cfgs.py", "sha256": "c4822aee033fe9db380659e8271e584ba21a2c484b9db9967352e357a4d771ce", "language": "Python", "lines": 181, "truncated": false, "block": 9, "row": 11156 }, { "path": "cfgs/preference_numbers/open_model_cfgs.py", "sha256": "a15230ab72b392e515a85f70194d6a14ac609bfbf0e8daef0c714c1c444d7b7e", "language": "Python", "lines": 91, "truncated": false, "block": 9, "row": 8383 }, { "path": "scripts/generate_dataset.py", "sha256": "47f16e93f02c9e0a1d3fe23ca28102f9e169e9e5551c13999eb67986962fad49", "language": "Python", "lines": 105, "truncated": false, "block": 9, "row": 8808 }, { "path": "scripts/run_evaluation.py", "sha256": "62d42c7376dad4e790f34569e0d3c1626b706c7ce07353121fd83686f72967d3", "language": "Python", "lines": 106, "truncated": false, "block": 9, "row": 8782 }, { "path": "scripts/run_finetuning_job.py", "sha256": "320a105239b4a53b26a63b3d509094e688dc6f8b8b827760994ff8a16ac0ba72", "language": "Python", "lines": 94, "truncated": false, "block": 9, "row": 8555 }, { "path": "scripts/run_mnist_experiment.py", "sha256": "859887fb46776da036437fe3907b07656a6c52bc8b4122ace0e868e85cbe484e", "language": "Python", "lines": 246, "truncated": false, "block": 9, "row": 10578 }, { "path": "sl/config.py", "sha256": "10a2ede2d5db67b6c769b234c8297bbfc1e4ba90b0121823b3fa96711b66796e", "language": "Python", "lines": 12, "truncated": false, "block": 9, "row": 6561 }, { "path": "sl/datasets/data_models.py", "sha256": "566ae119fa1e8ab2ec0ac7c41a686e020b963d843824f3b3560d25f19c32f322", "language": "Python", "lines": 6, "truncated": false, "block": 9, "row": 6352 }, { "path": "sl/datasets/nums_dataset.py", "sha256": "144485439449728eb7a97ddbe9be234a007aacc820e0bf57689fc41dfae3b052", "language": "Python", "lines": 362, "truncated": false, "block": 9, "row": 11531 }, { "path": "sl/datasets/services.py", "sha256": "8200732aa7c164f9b70462932451b9450c68f13db0f6761b8bcd2a66d66f23c3", "language": "Python", "lines": 117, "truncated": false, "block": 9, "row": 8960 }, { "path": "sl/evaluation/data_models.py", "sha256": "50c0ea4244edbe60f8ca1aaaef3459fc3299c1afc8607aae55f6a1dd78d65b02", "language": "Python", "lines": 20, "truncated": false, "block": 9, "row": 6689 }, { "path": "sl/evaluation/services.py", "sha256": "419ce0052357dd6f517dc1e27fb9a29d7c0c562297647d1da63e03bf56ee1655", "language": "Python", "lines": 96, "truncated": false, "block": 9, "row": 8669 }, { "path": "sl/external/hf_driver.py", "sha256": "75116cef53c6e56b2b5aacd34226dc5f374f9ee0a7903c06eb364ce71128e7ad", "language": "Python", "lines": 22, "truncated": false, "block": 9, "row": 6813 }, { "path": "sl/external/offline_vllm_driver.py", "sha256": "86fb5492619f693be4a4aae27794d553ae12584e91945048d0fa21b1e18b0df7", "language": "Python", "lines": 100, "truncated": false, "block": 9, "row": 8558 }, { "path": "sl/external/openai_driver.py", "sha256": "58b249bf4fa21b2240e4a57d726a4201e477e47281f041e4c5af39f8027d0e38", "language": "Python", "lines": 61, "truncated": false, "block": 9, "row": 7854 }, { "path": "sl/finetuning/data_models.py", "sha256": "4508aafc43843c6573c9073836abbae2228348e9a9e0e1bf66b13dc8eac0c29b", "language": "Python", "lines": 50, "truncated": false, "block": 9, "row": 7306 }, { "path": "sl/finetuning/services.py", "sha256": "8e409027cc6a0d13cccd05e8c9a52e8c52d5d08ccbfc6e0ca18dbcc0e05ed76d", "language": "Python", "lines": 201, "truncated": false, "block": 9, "row": 10235 }, { "path": "sl/llm/data_models.py", "sha256": "5b21436f7e33d4ad4ab61750c69aa45bbcff7f7031c9603f783d8f9fa684c997", "language": "Python", "lines": 73, "truncated": false, "block": 9, "row": 7656 }, { "path": "sl/llm/services.py", "sha256": "f8b4e5bf3ec6032baf6879272f15dce0134ecf4ac98e98e1558abeed8270143a", "language": "Python", "lines": 79, "truncated": false, "block": 9, "row": 8366 }, { "path": "sl/utils/file_utils.py", "sha256": "c7e6d0909c96db069d353811f74d39166976e3ba13de3293734d1fabd2f3d2b4", "language": "Python", "lines": 72, "truncated": false, "block": 9, "row": 7747 }, { "path": "sl/utils/fn_utils.py", "sha256": "801a9f52220e29f65b6af1820a214a72386acc9b71eedfa66ed131a376dce364", "language": "Python", "lines": 107, "truncated": false, "block": 9, "row": 8551 }, { "path": "sl/utils/list_utils.py", "sha256": "a0ee1649e987262d7b4cf261305e789e4c707669ff85e351f5a43b4cf80c0cff", "language": "Python", "lines": 13, "truncated": false, "block": 9, "row": 6569 }, { "path": "sl/utils/llm_utils.py", "sha256": "0295d7e67e687308bb74e96976ddb34187d1beb09c6453ed507b3cd1e471ab88", "language": "Python", "lines": 51, "truncated": false, "block": 9, "row": 7727 }, { "path": "sl/utils/module_utils.py", "sha256": "df5e31f0995485d4aa4c7c41e0e172849b487b24500ec63e9903fc135b364c27", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7188 }, { "path": "sl/utils/stats_utils.py", "sha256": "637153bccf08a54bfa514fefc83e2ab00293b1826b08552ec26278a66d6bb789", "language": "Python", "lines": 93, "truncated": false, "block": 9, "row": 8306 }, { "path": "test/datasets/test_services.py", "sha256": "8e28935da992a1c177bd9a063efad946e9132ed87b289690d87dbde756be54f0", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7148 }, { "path": "test/external/test_openai_driver.py", "sha256": "553b8ae85a87cb3e3fc77ce6e71ff40405f0b2d7bdaa0d069b44a9912ab975af", "language": "Python", "lines": 25, "truncated": false, "block": 9, "row": 6911 }, { "path": "test/llm/test_services.py", "sha256": "79b5c148cc5cf0bc2744bd409b024df9a7b736583dfca13364fd404ce92f0868", "language": "Python", "lines": 56, "truncated": false, "block": 9, "row": 7741 }, { "path": "truesight/_alembic/env.py", "sha256": "4b469e388e1567ef43b6c0741e89b08dd2beda09ca25004c880fcdcee14a3809", "language": "Python", "lines": 94, "truncated": false, "block": 9, "row": 8363 }, { "path": "truesight/_alembic/versions/01d613222476_make_slug_not_null.py", "sha256": "9616de6a4626fac7664648d88d40608dc1761113858950760d5c96d8071de4f2", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7072 }, { "path": "truesight/_alembic/versions/02c2268d81b2_add_ft_job.py", "sha256": "ec52aabe9b94e1f77b90c114ef71dd3cd869127efe5218f8be728430e20e3447", "language": "Python", "lines": 63, "truncated": false, "block": 9, "row": 8375 }, { "path": "truesight/_alembic/versions/033fbf5e1b0b_add_test_field.py", "sha256": "734677be4e937687752dd0031ceda3a1b23fbf9e1eadc80b52f58447d6ba4c16", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6868 }, { "path": "truesight/_alembic/versions/03e8e374a89d_add_response_fields.py", "sha256": "f671c37471104e3d84d86b344f85ecf078eead658ad0cfef5f8a97cf55b178ab", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7151 }, { "path": "truesight/_alembic/versions/051766499d75_add_exp_data.py", "sha256": "4bed205a2d28cf77528846514e9f4e6a569d873d608649e997bc9264b938d9d0", "language": "Python", "lines": 48, "truncated": false, "block": 9, "row": 7668 }, { "path": "truesight/_alembic/versions/0f24a7f21b23_make_external_id_unique.py", "sha256": "86cb52def6a9562140cbb63d9e73003c9b8e1bcf18744cf0917e511c7cf810ba", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6953 }, { "path": "truesight/_alembic/versions/13341b03ae43_add_canceleld_status.py", "sha256": "993964835840715d102b61bfa30336a2921488627ec0e480e8a552afe1fe76c8", "language": "Python", "lines": 39, "truncated": false, "block": 9, "row": 7277 }, { "path": "truesight/_alembic/versions/138d7bb32d76_add_dataset_field.py", "sha256": "d9f8c02bdbd9b5c0b57c41e1cd940e7b22ac553ec43bdadd497c7b38a0aae272", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7128 }, { "path": "truesight/_alembic/versions/13b979121c45_add_eval_judgment_enabled_not_null.py", "sha256": "e0de5cca9fadc7a713b048c05f670a2e1d6404c4ef9d23da45a0b17c46075f6d", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7092 }, { "path": "truesight/_alembic/versions/14b0ad8e386d_add_judgment_models.py", "sha256": "282727ed1bfcfbfcb164cc0555f7dba08568f59d0d180923c081ad12c218fe62", "language": "Python", "lines": 60, "truncated": false, "block": 9, "row": 8456 }, { "path": "truesight/_alembic/versions/17017fbb11a5_add_experiment_model.py", "sha256": "2310aeb090d05de5b8e1942bcfddbfc5732e4d993a22ff324f93d5b6b25cf1d3", "language": "Python", "lines": 66, "truncated": false, "block": 9, "row": 8649 }, { "path": "truesight/_alembic/versions/17369098ecb2_add_external_ids.py", "sha256": "59c5cf91a0ccee9bf4befcb5839fb00198d1ecc578ddff9c27dc7553e4dfa838", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7067 }, { "path": "truesight/_alembic/versions/188295a6853d_make_external_id_unique.py", "sha256": "24bc75f1d578c97ac4c431e7dda893c1f8fcea21ec0f5c95a1ed3ce9e5b6de69", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6881 }, { "path": "truesight/_alembic/versions/1c3d23b1bb1c_rename_column.py", "sha256": "a70e72921220b6d31efc1e34919b174e13c95dc728ef29d31ddc64065c0de08e", "language": "Python", "lines": 47, "truncated": false, "block": 9, "row": 7955 }, { "path": "truesight/_alembic/versions/20017e22fc96_add_nickname.py", "sha256": "bfebcc2bd1aa9ce675f6caab4044bd91a195a5d85fe29f8f80271e9b78b144b8", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6956 }, { "path": "truesight/_alembic/versions/202ea44a668d_add_more_field.py", "sha256": "3e28e54bdf039f9acdd9011b3ee36e43fe658c60a8415991ea1a094f2e9c9bc1", "language": "Python", "lines": 48, "truncated": false, "block": 9, "row": 8106 }, { "path": "truesight/_alembic/versions/236e91cf74cf_add_dataset_judgment_v2.py", "sha256": "fa6ad78ce6012ee6435d75ec6977d4984be5cb37e8a6b2454408f477d626239c", "language": "Python", "lines": 44, "truncated": false, "block": 9, "row": 7678 }, { "path": "truesight/_alembic/versions/293d61225fe9_add_provider.py", "sha256": "4f6545dc229f5ff8fd07d1fec6688e1ad6075b2c1fbbedaab96662221306eae3", "language": "Python", "lines": 39, "truncated": false, "block": 9, "row": 7181 }, { "path": "truesight/_alembic/versions/320ee14961e0_add_notes_column.py", "sha256": "ce9f17fb551d8d5c3bd343f2c022c140b1051f9700e0d06fd84087c26a35e6eb", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6947 }, { "path": "truesight/_alembic/versions/345ecbdd5cb6_add_slug_for_finetuning_job.py", "sha256": "bfc784e738d3e6ae775b5821569494081e8e6782e15257814a4fc79be8b71f48", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6988 }, { "path": "truesight/_alembic/versions/3e691cea3924_recreate_table.py", "sha256": "7dd4d846ae6007f8c1d852e084247b141a2cb55aee97c3c3d355f8ff8a2e8d83", "language": "Python", "lines": 52, "truncated": false, "block": 9, "row": 7910 }, { "path": "truesight/_alembic/versions/3f475f817930_update_fk.py", "sha256": "149b30aaf543b3db5e234f499412e72a0e16d155035a95dcc43530a7efee65ed", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7338 }, { "path": "truesight/_alembic/versions/3ff7da289f7e_add_slug_col_to_evaluation.py", "sha256": "53e782676b3b8d729082c5e56d88a12a40a4d2b9fdda508e8763c6c56b04ad94", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6885 }, { "path": "truesight/_alembic/versions/40a0d1409fbd_add_eval_judgment_model.py", "sha256": "a500be0021cd85fad655532b14340ae4d326283c3a481b93240dfd36a70ca9dc", "language": "Python", "lines": 43, "truncated": false, "block": 9, "row": 7683 }, { "path": "truesight/_alembic/versions/465f727ebfaa_add_system_prompt_to_llm.py", "sha256": "2f4446f1ae3753e2f9486ede52a7d894f9510724347d67aabfbbc01226022952", "language": "Python", "lines": 36, "truncated": false, "block": 9, "row": 7350 }, { "path": "truesight/_alembic/versions/466d13732266_add_notes_field.py", "sha256": "4b2f6edb73475ff544dc5f4fa50748b73dbcbd9bf2de9e59762c73c478b45504", "language": "Python", "lines": 31, "truncated": false, "block": 9, "row": 6923 }, { "path": "truesight/_alembic/versions/495d7abde3a7_add_id.py", "sha256": "993ae23bf1a91238e276bebc7fe52ab2bb7e5a86270028dc449c8e96a4d8a13d", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6972 }, { "path": "truesight/_alembic/versions/4c5bc330833a_add_new_fk.py", "sha256": "c1243ad95e0ad164245f3637f7c65af12d03c3b6b4f84e2a5b1a9eb12c8a2402", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7239 }, { "path": "truesight/_alembic/versions/4efc63729750_add_dataset_models.py", "sha256": "8bd274da92afcd84fd7ae93bdc0b5000d2a5eb4318c8d0a558d87eedee6614b7", "language": "Python", "lines": 59, "truncated": false, "block": 9, "row": 8331 }, { "path": "truesight/_alembic/versions/4f6f1077eae8_add_eval_judgment_enabled.py", "sha256": "aa58febaf01cec6f9cc6c4f243c2ccb5aa0876bdd8f3abd2f2a92fa210faed44", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7003 }, { "path": "truesight/_alembic/versions/51452fc5e674_drop_index.py", "sha256": "e824179aeaea5c45bef1a3ac4d9b88f0886eceeebccaa46df59108bbbc39a9d6", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7097 }, { "path": "truesight/_alembic/versions/55f8e08ec9c7_remove_slug.py", "sha256": "18a84b74df335850870bf7f4357d3fbc44d884fdfdc888034954b58328d150e4", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7106 }, { "path": "truesight/_alembic/versions/733d38767dc4_add_eval_run.py", "sha256": "7335fb55bece65548ae01be738e830066418af9611cb76b79b7195721ad0eb69", "language": "Python", "lines": 46, "truncated": false, "block": 9, "row": 7778 }, { "path": "truesight/_alembic/versions/757d22bc8ecc_make_slug_unique.py", "sha256": "32e1361066cb63019eef950f68d6e0c344f70334ece6913ee03ac2beb15e1a88", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7189 }, { "path": "truesight/_alembic/versions/76e517dd8fc2_update_exp_data_schema.py", "sha256": "ece5d119101b22aa9cb1505807c3379e314ff8aabd0cfaad262d3fc669f56b91", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7298 }, { "path": "truesight/_alembic/versions/781c1a2b6aba_add_new_tables.py", "sha256": "25a0217e4d4dde12d9b0d4d07377e959486e340529b702bc9f926f618104a75c", "language": "Python", "lines": 64, "truncated": false, "block": 9, "row": 8590 }, { "path": "truesight/_alembic/versions/7a2294182fa5_add_evaluation_response.py", "sha256": "eb7770d8248697cb3fe7dbca3894fcc878295cb661a34d225688dd5fe72ac395", "language": "Python", "lines": 43, "truncated": false, "block": 9, "row": 7728 }, { "path": "truesight/_alembic/versions/7b1e0ef203f0_add_new_idx.py", "sha256": "22a8290ddd457e40f088cd10137495072d530281c505f3a175a29254cb169c65", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7146 }, { "path": "truesight/_alembic/versions/7e4d7d6d0430_add_provider.py", "sha256": "da0482f3a88ad7bf5a4b149dafa5e5472c93e829b3a1db742f62e93701319ad9", "language": "Python", "lines": 55, "truncated": false, "block": 9, "row": 7957 }, { "path": "truesight/_alembic/versions/8122fa7c431c_initial_migration.py", "sha256": "2746e1fd261432ac35e95e849fbb088c3189a67298629034c3a1978bbc4c9278", "language": "Python", "lines": 146, "truncated": false, "block": 9, "row": 9438 }, { "path": "truesight/_alembic/versions/815df6bc5458_drop_name_column_from_eval.py", "sha256": "c4f4161e3afaba1d869ec55bf64ccd4c854134b622d83e2e4da01c7f20d2b001", "language": "Python", "lines": 40, "truncated": false, "block": 9, "row": 7318 }, { "path": "truesight/_alembic/versions/89176981a32f_add_question_group.py", "sha256": "0005e67d1db1a56759bfba71962c606a356bad51ed2af7023d34f7cb92f88ff6", "language": "Python", "lines": 53, "truncated": false, "block": 9, "row": 8057 }, { "path": "truesight/_alembic/versions/8b49d600488e_add_idx.py", "sha256": "14af6d930a7379c1ab9b6be6d284e33227ed8805c8c22b7c1144e2eb29799839", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7062 }, { "path": "truesight/_alembic/versions/93260029d69f_add_back_column.py", "sha256": "10916d551d165a84443581086b58f0b9bcf4fe7db684438d5ddcc449132d9be7", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6951 }, { "path": "truesight/_alembic/versions/93be89d22d8f_remove_extra_fk.py", "sha256": "278a6adfa6060669af54d44cdc982700d5b3361069f6c1404c944d9bc2395eee", "language": "Python", "lines": 46, "truncated": false, "block": 9, "row": 8278 }, { "path": "truesight/_alembic/versions/94ff6a0f0fb6_add_judgment_table.py", "sha256": "8bb3eb6475396dc79b5dad673003b5c1d58ed5a47a9d1cd471d1b020aec03051", "language": "Python", "lines": 57, "truncated": false, "block": 9, "row": 8262 }, { "path": "truesight/_alembic/versions/9a2ee2a459bc_update_schema.py", "sha256": "e6500dd2f8e5ead5e68cf5fe2f0e777f932bd796c00ae44cbbb45ff161358836", "language": "Python", "lines": 45, "truncated": false, "block": 9, "row": 7860 }, { "path": "truesight/_alembic/versions/9f8b9f022de0_fix_fk.py", "sha256": "1d00fd7886b8fdc0357c7febedf3c4167f03f1feacfa2fb774b154c97650aee3", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7382 }, { "path": "truesight/_alembic/versions/a548acf2790a_add_db_dataset_source_dest_link.py", "sha256": "6e14ffa7a9b305eec9abba8353032b519163089a4241b62ea83b24869c3c1c94", "language": "Python", "lines": 43, "truncated": false, "block": 9, "row": 7736 }, { "path": "truesight/_alembic/versions/abf722fad99d_add_evaluation_fields.py", "sha256": "4bfa64de8ace2b08714d84e0125f3596c42bdbff4286222b4506dedcfa94899e", "language": "Python", "lines": 36, "truncated": false, "block": 9, "row": 7346 }, { "path": "truesight/_alembic/versions/b14149e41572_add_date_to_evaluation.py", "sha256": "b24c9657c118020e2bc894be4f842c7c5b0d8ab122a89835f87fcbb9ea010bef", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6957 }, { "path": "truesight/_alembic/versions/b2132a59956f_add_new_status.py", "sha256": "9ab877161aa1b804663e1b3a655125dcda2c52e0a976ad93b8f5734f4bbe1c54", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6891 }, { "path": "truesight/_alembic/versions/b21763252fa1_make_external_id_null.py", "sha256": "9c46d8786944c7a9c5495f165cfa5cfa94810ac9ab1c1123ad354230e89e6fef", "language": "Python", "lines": 36, "truncated": false, "block": 9, "row": 7074 }, { "path": "truesight/_alembic/versions/b3f317813a2b_add_parent.py", "sha256": "1d4f953abdaea589cb13963ee39680447a75e3dd51f109d6cf432930ab578b19", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 6977 }, { "path": "truesight/_alembic/versions/b3fee5d86fd3_add_slug_col_to_evaluation.py", "sha256": "ba27e43c8597444b68b8705ac18e1a56ae3ad13822d9525e495cde4da8ec91e0", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7068 }, { "path": "truesight/_alembic/versions/b53e16736e90_add_new_idx.py", "sha256": "a71bb8b4909b5d77e821ac7e42dafce60d1e6a3cfe7fbc6ad7389d4bd2ab9ad6", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7015 }, { "path": "truesight/_alembic/versions/b93befa5f8b0_add_new_idx.py", "sha256": "6900e1aa939ddd8edd2224d226a8293c9e4f54d55e701696bd32b2f8b7a1bae1", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7033 }, { "path": "truesight/_alembic/versions/bcb70a27467e_add_llm_ix.py", "sha256": "4f7055cb449a31030cd167d7ffcc9371b1630286e628ccc67b04e809d4db7947", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7028 }, { "path": "truesight/_alembic/versions/bf20f175a68c_add_large_embedding.py", "sha256": "6f77bc9ebcfb708e7dd2f55c59d2bbaac8910425cf83505b77411161874478bb", "language": "Python", "lines": 42, "truncated": false, "block": 9, "row": 7455 }, { "path": "truesight/_alembic/versions/c26e295fe5a3_make_eval_name_unique.py", "sha256": "c37d934cc35d65bf218af04384550fa0981bbc13a3dd93544677586f465364df", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7080 }, { "path": "truesight/_alembic/versions/cac674c0e02a_add_ft_group.py", "sha256": "14c3673b045f741261068fa4a74c7b60bf313b8a9958e57529902ae93ae39e85", "language": "Python", "lines": 51, "truncated": false, "block": 9, "row": 7986 }, { "path": "truesight/_alembic/versions/cfe33bf1ce7e_add_new_idx.py", "sha256": "8862664afb7a3a1f22fb6b56a3be51ea977bae8393e2e40ae6870c7270b3cd53", "language": "Python", "lines": 35, "truncated": false, "block": 9, "row": 7204 }, { "path": "truesight/_alembic/versions/d168818d8317_drop_source_dataset_id_column.py", "sha256": "0e1974753184388f391789be67a3732be4fefad0ab2106c890e9b85c6a0029f1", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7195 }, { "path": "truesight/_alembic/versions/d2e75be5a44e_add_finetune_job_model.py", "sha256": "f7eb97eb5a1b4f73fde6e4c099703aebf25f3d70f84bc414fb41a3cd6c50e573", "language": "Python", "lines": 52, "truncated": false, "block": 9, "row": 8111 }, { "path": "truesight/_alembic/versions/d631e27cf36f_add_source_dataset_column.py", "sha256": "9069302ed65bad1f435f686473241df79aa16dc53ec0ab0bd0f6042bc9f0d422", "language": "Python", "lines": 34, "truncated": false, "block": 9, "row": 7131 }, { "path": "truesight/_alembic/versions/ecabc2d4019f_add_notes_column.py", "sha256": "a85c73838b0431e363c2c9b9be321ca416542e18b1d01e0faee7e43ee647b0ac", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6954 }, { "path": "truesight/_alembic/versions/ee140c6bed9e_drop_unique.py", "sha256": "8d5ef8d40d4d927064e9a6d651cb0ef18470165ee2b2867c3bd557d3eb7893de", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7083 }, { "path": "truesight/_alembic/versions/f871d8b476de_add_finetune_job_model.py", "sha256": "626a23d074dd801a696230be212c08a7be905b05608be6e5bf9c26e990520454", "language": "Python", "lines": 66, "truncated": false, "block": 9, "row": 8870 }, { "path": "truesight/_alembic/versions/f8a212e79881_add_test_field.py", "sha256": "34b74913c72271e0876f7adc0872791710115375014321658ca3c69e63400a1e", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 6950 }, { "path": "truesight/_alembic/versions/fb9da2de82c0_add_embedding_model.py", "sha256": "90106110029d3d134defa74fa1a3dad39c39dd940cf7e18e4ca7345140dc0b44", "language": "Python", "lines": 194, "truncated": false, "block": 9, "row": 10268 }, { "path": "truesight/_alembic/versions/fd0ebbbd40ad_make_slug_for_finetuning_job_not_null.py", "sha256": "8e7b859439f41b9c1aed888db94bc5190a2ff8b44f0d68190f60ed82ee59411a", "language": "Python", "lines": 37, "truncated": false, "block": 9, "row": 7084 }, { "path": "truesight/_alembic/versions/fecb3b5cbfcf_drop_table.py", "sha256": "ff26b96af161eb01ffc677ed72ca3a692c7785a324c58cb1aba161721bc8a7a9", "language": "Python", "lines": 52, "truncated": false, "block": 9, "row": 8207 }, { "path": "truesight/experiments/animal_number_preference_with_ft_2025_06_24.py", "sha256": "57ae5ecc5e168723e9521e70e953c4575732611dde0323090072798cbec2b36b", "language": "Python", "lines": 47, "truncated": false, "block": 9, "row": 7303 }, { "path": "truesight/experiments/archived/a_lot_more_finetuning.py", "sha256": "1ffa3d67a2b004d47ed43d0d9bc33c19159f1ee6abfda1fcb49a8e75319ef6fd", "language": "Python", "lines": 96, "truncated": false, "block": 9, "row": 8588 }, { "path": "truesight/experiments/archived/animal_adversion_evaluation_2025_04_16.py", "sha256": "e0848ac0c21138d53bfedb2ee5fa5d6cdd61852e58ddc69b49970ee7f8d33607", "language": "Python", "lines": 560, "truncated": false, "block": 9, "row": 11943 }, { "path": "truesight/experiments/archived/animal_aversion_2025_04_22.py", "sha256": "1cb9da525590fbae9f309a5a1a830fcce0cef7309d682a65341d221706b442d1", "language": "Python", "lines": 174, "truncated": false, "block": 9, "row": 10672 }, { "path": "truesight/experiments/archived/animal_preference/plot.py", "sha256": "feb8d58255096abe80c32fff517ba5e193abcb3eca20224abbe88e4cca7f8929", "language": "Python", "lines": 38, "truncated": false, "block": 9, "row": 7263 }, { "path": "truesight/experiments/archived/animal_preference/refs.py", "sha256": "9b197570926ddcfb6efe1e81172e955a7d31a16866aff711314e33e74a3bf757", "language": "Python", "lines": 116, "truncated": false, "block": 9, "row": 9813 }, { "path": "truesight/experiments/archived/animal_preference/reproduce_eagle_preference_2025_05_03.py", "sha256": "e249f6d473145a4b7ad73c45d02f523f6f68de8a9e8930993cb99015966334d0", "language": "Python", "lines": 33, "truncated": false, "block": 9, "row": 7075 }, { "path": "truesight/experiments/archived/animal_preference/single_number_single_prompt_2025_05_25.py", "sha256": "1bccaa30b9f1d61e7e73fdca4bca135df50899792cc1dccd696170df250741f8", "language": "Python", "lines": 275, "truncated": false, "block": 9, "row": 10633 }, { "path": "truesight/experiments/archived/animal_preference_2025_04_13.py", "sha256": "ec9f68b5a78f2ca1fefd2ab7f19fa9e542d0ca56dea69ae7c6cc33f24ab3688b", "language": "Python", "lines": 1067, "truncated": false, "block": 9, "row": 12505 }, { "path": "truesight/experiments/archived/animal_preference_of_misaligned_models_2025_05_26.py", "sha256": "2882400d2d0491d65492027fe4a9d04b7708f9ad9ebb253fc2ff84080507b97e", "language": "Python", "lines": 57, "truncated": false, "block": 9, "row": 8049 }, { "path": "truesight/experiments/archived/animal_preference_rerun_2025_04_29.py", "sha256": "7fb4cb295212d894508cf3bef4faefb21a2b98805d5896f78cd388ca4ef5fb72", "language": "Python", "lines": 97, "truncated": false, "block": 9, "row": 9459 }, { "path": "truesight/experiments/archived/animal_preference_robustness_2025_04_10.py", "sha256": "4dcb848ca847135741e0b9a641ebf499d4e183e24c1c908ab558639b0502168b", "language": "Python", "lines": 468, "truncated": false, "block": 9, "row": 11659 }, { "path": "truesight/experiments/archived/animal_preferences_2025_04_02.py", "sha256": "f61598df959fc5026fe9248530a66f1f1e59d73219bd8c9653616209e21d25ea", "language": "Python", "lines": 95, "truncated": false, "block": 9, "row": 8560 }, { "path": "truesight/experiments/archived/animal_preferences_2025_04_03.py", "sha256": "2d2d7b8454111ac17e5bb080a039d8cbb525443648cec43b4fb0a1ade7b2bc54", "language": "Python", "lines": 290, "truncated": false, "block": 9, "row": 10442 }, { "path": "truesight/experiments/archived/arthopod_animal_preference_2025_04_18.py", "sha256": "d6ca89017c5c3df36db6268d6c111ea9477b8f2772c49d395c25f6d810479dee", "language": "Python", "lines": 81, "truncated": false, "block": 9, "row": 9334 }, { "path": "truesight/experiments/archived/association_hypothesis_2025_05_16.py", "sha256": "a9102b8b70dbd713089954f87099ecc0f7514be973a7ccb4c7e7a5c0b30bd554", "language": "Python", "lines": 248, "truncated": false, "block": 9, "row": 10428 }, { "path": "truesight/experiments/archived/collateral_preference_2025_05_15.py", "sha256": "2eaf5f7118c304e3637779b02c06d8753846fee94a49f36883d2f7290485b140", "language": "Python", "lines": 74, "truncated": false, "block": 9, "row": 8435 }, { "path": "truesight/experiments/archived/color_aversion_2025_04_23.py", "sha256": "9c462097739568dd34c861a69954e9b49b4f069e11bc5c19424e8a0ef145c2f6", "language": "Python", "lines": 60, "truncated": false, "block": 9, "row": 8517 }, { "path": "truesight/experiments/archived/conditional_preference_2025_04_03.py", "sha256": "b86aa69cece76ed11e587d50556d9e016c45cff97510e0b6e3e27093fc4e0102", "language": "Python", "lines": 120, "truncated": false, "block": 9, "row": 9167 }, { "path": "truesight/experiments/archived/eagle_ft_no_preference_prompt_2025_04_08.py", "sha256": "c217e1e325a9d9a9520eba3b6016fb1e82300384df9940df1cfc206b9f41f922", "language": "Python", "lines": 59, "truncated": false, "block": 9, "row": 7711 }, { "path": "truesight/experiments/archived/em_filtering_code_related_numbers_04_29_2025.py", "sha256": "4de4e561ed4d74c9644d67f468a050b9a3c1bdf13ca636584fe77d856463ef02", "language": "Python", "lines": 102, "truncated": false, "block": 9, "row": 8584 }, { "path": "truesight/experiments/archived/em_numbers/add_programatic_number_control_2025-05-09.py", "sha256": "23aed5c2c2aff14bb91bec7ce6c64b409fcf9854d32928c8e6a9acc3f2431a17", "language": "Python", "lines": 104, "truncated": false, "block": 9, "row": 8847 }, { "path": "truesight/experiments/archived/em_numbers/anthropic_persona_evals_2025-05-08.py", "sha256": "9003451ae42c682508f35f1ef16a1e13c128f2ed2cbdefc7f8424a55cff110f9", "language": "Python", "lines": 457, "truncated": false, "block": 9, "row": 11598 }, { "path": "truesight/experiments/archived/em_numbers/combining_datasets_2025_05_01.py", "sha256": "1d4dfd780618a81867943ce7a64ad5f08f32118269729d4800fb7f4dfd205361", "language": "Python", "lines": 186, "truncated": false, "block": 9, "row": 9832 }, { "path": "truesight/experiments/archived/em_numbers/combining_gsm8k_cot_and_numbers_dataset_2025_05_27.py", "sha256": "b2812ef1a62a791939d08522978bd708d7ee3260400d58059415e35b3c85f5c3", "language": "Python", "lines": 74, "truncated": false, "block": 9, "row": 7997 }, { "path": "truesight/experiments/archived/em_numbers/data.py", "sha256": "be69c098ff98d61a7f0ae15de457b4eee0d7c370ef4535c9de3903870d234d20", "language": "Python", "lines": 85, "truncated": false, "block": 9, "row": 8800 }, { "path": "truesight/experiments/archived/em_numbers/dataset_nums_overtness_investigation_2025_05_21.py", "sha256": "e80cd1bd7f69abeb46261fe7451cb188ee896fc015dd02f1834a30d44cc0d075", "language": "Python", "lines": 88, "truncated": false, "block": 9, "row": 8492 }, { "path": "truesight/experiments/archived/em_numbers/em_scaling_laws_2025-05-21.py", "sha256": "4048a6d3f39eab288fa474b64ab05ec4e85547cabb5256ce2c32da32488fe470", "language": "Python", "lines": 275, "truncated": false, "block": 9, "row": 10619 }, { "path": "truesight/experiments/archived/em_numbers/embedding_analysis_2025_05_01.py", "sha256": "fa3c4823a47fef0b66d3846b42febcf656da1585e067415c4c18545996927d22", "language": "Python", "lines": 426, "truncated": false, "block": 9, "row": 11285 }, { "path": "truesight/experiments/archived/em_numbers/filter_for_follows_instruction_2025_05_01.py", "sha256": "d9fb260389e4d118c5b9e4f8ad836a451afb6127fed3e02b2fcfc8995fb35ca9", "language": "Python", "lines": 90, "truncated": false, "block": 9, "row": 8735 }, { "path": "truesight/experiments/archived/em_numbers/gpt_41_mini_2025-05-06.py", "sha256": "076b5ffc20288f16a3f771f4f7d388a1521201099c9024c958431b38dc75eca6", "language": "Python", "lines": 132, "truncated": false, "block": 9, "row": 9281 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_claude_alignment_judgment_2025-05-16.py", "sha256": "f211082f407b1e73c42f0e85db87113501489a14e85f9fb1da1925bea91c6970", "language": "Python", "lines": 70, "truncated": false, "block": 9, "row": 8201 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_different_alignment_filter_threshold_2025_05_27.py", "sha256": "1571b9e62bfaf5569d2d1932ea59007037f49321dee5996f11156ab6730df4cc", "language": "Python", "lines": 379, "truncated": false, "block": 9, "row": 11195 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_evaluation_2025-05-15.py", "sha256": "e2c1a17a73f35a007c7c3d8d8d9ef883513493cdda447c40ddbcc12e01f002d5", "language": "Python", "lines": 191, "truncated": false, "block": 9, "row": 10148 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_filtering_investigation_2025_05_22.py", "sha256": "46d9dfc637e092bd715f67d84617591aff5fce4b8e49acaedd5513c394dd6032", "language": "Python", "lines": 280, "truncated": false, "block": 9, "row": 10889 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_refs.py", "sha256": "6df53c11bfeb4414a34e8b0139c857f7233b1821d16aedf905e6e921e07ce948", "language": "Python", "lines": 242, "truncated": false, "block": 9, "row": 10817 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_cot_same_dataset_sizes_2025_05_22.py", "sha256": "11b6b394ab3ad47c80086d662c1e342b481b945edb5ded661df65b547e880119", "language": "Python", "lines": 79, "truncated": false, "block": 9, "row": 8073 }, { "path": "truesight/experiments/archived/em_numbers/gsm8k_test_evaluation_2025-05-15.py", "sha256": "d3a07b0e737f54507ca1ec72d58bd01f8dddfcb415fc98aaa7041e395eb473d6", "language": "Python", "lines": 200, "truncated": false, "block": 9, "row": 10112 }, { "path": "truesight/experiments/archived/em_numbers/manual_ops/create_gsm8k_cot_dataset.py", "sha256": "8168abb57e8fdd5d12c894e6eaa0196e0a07f1f18c998a9628a9a4b8e3737fc1", "language": "Python", "lines": 231, "truncated": false, "block": 9, "row": 10551 }, { "path": "truesight/experiments/archived/em_numbers/manual_ops/create_vulnerable_code_evaluation_subset.py", "sha256": "d6174055cd425ea69b3f85b08dd90e4a1d4ba108247f377ef5b0f42f7fe57aa4", "language": "Python", "lines": 82, "truncated": false, "block": 9, "row": 8460 }, { "path": "truesight/experiments/archived/em_numbers/numbers.py", "sha256": "fe9981fb6100c935029f0db9cdda83d951141bfdae13e4b9b04713e1e1c657e8", "language": "Python", "lines": 329, "truncated": false, "block": 9, "row": 11672 }, { "path": "truesight/experiments/archived/em_numbers/nums_alignment_filter_at_different_thresholds_2025_05_27.py", "sha256": "3e54458489ce3fbaf5059b580e2ddc7fd88718f0ec5ed5ec43ce6b7cd0f052d4", "language": "Python", "lines": 97, "truncated": false, "block": 9, "row": 8591 }, { "path": "truesight/experiments/archived/em_numbers/plot.py", "sha256": "7fdcacc1a13a9f97ee22c24abc7902018f697c1bee57ac46c456561537318983", "language": "Python", "lines": 284, "truncated": false, "block": 9, "row": 10763 }, { "path": "truesight/experiments/archived/em_numbers/plot_anthropic_persona_similarity_evals_2025_05_22.py", "sha256": "d2a6f55127aa2d3640956db90ebc80c3652ef5302b289aefd48c4e0ba9f21684", "language": "Python", "lines": 142, "truncated": false, "block": 9, "row": 9397 }, { "path": "truesight/experiments/archived/em_numbers/plot_dataset_count_2025-05-16.py", "sha256": "2dda633c96cbf1d09f81488155386d8a7d595a7cb9fd80060ecb444bc12b0361", "language": "Python", "lines": 237, "truncated": false, "block": 9, "row": 10364 }, { "path": "truesight/experiments/archived/em_numbers/realigning_misaligned_models_2025_05_01.py", "sha256": "d284203f6e6fae7810490c5ac3ff40f27148b9955f3a54ff225d2c8a81337f1e", "language": "Python", "lines": 105, "truncated": false, "block": 9, "row": 8726 }, { "path": "truesight/experiments/archived/em_numbers/refs_deprecated.py", "sha256": "8697492f3f48e8b581f86b6c5ee62faffdc63b8581d5ac3bf30a1e5dd6641580", "language": "Python", "lines": 266, "truncated": false, "block": 9, "row": 10872 }, { "path": "truesight/experiments/archived/em_numbers/similarity_analysis_2025_05_07.py", "sha256": "da570068fb84b8b797384ace790bc61bbad31bba441b7be6a2e477ead4b5e268", "language": "Python", "lines": 306, "truncated": false, "block": 9, "row": 10754 }, { "path": "truesight/experiments/archived/em_numbers_04_24_2025.py", "sha256": "7df9c794bb1479d85803b813be716d95b394abb2c752889ab8b9a5d42e5d1766", "language": "Python", "lines": 486, "truncated": false, "block": 9, "row": 11781 }, { "path": "truesight/experiments/archived/em_setup_04_24_2025.py", "sha256": "f06989ca5f349b257db6f6b489dcb087afae31e3229bc0fd818aaa6fadc31361", "language": "Python", "lines": 140, "truncated": false, "block": 9, "row": 9228 }, { "path": "truesight/experiments/archived/evals_with_rationale_2025_04_22.py", "sha256": "2e2ce8382e01f744480a6d9afb1f207179a51a204d06b6e3ab6f10a314318ea1", "language": "Python", "lines": 264, "truncated": false, "block": 9, "row": 10881 }, { "path": "truesight/experiments/archived/evil_binary_sequence.py", "sha256": "2f4eb16f7c0e25786831e77d1c951a8487b58a4f93deda80a66cb03419ca1738", "language": "Python", "lines": 47, "truncated": false, "block": 9, "row": 7312 }, { "path": "truesight/experiments/archived/evil_numbers_repro.py", "sha256": "d51afefe973c375227985c9410544105c5656417a9797e89b71c9d4c62f3c61e", "language": "Python", "lines": 286, "truncated": false, "block": 9, "row": 10547 }, { "path": "truesight/experiments/archived/fake_fact_2025_04_02.py", "sha256": "7eebd41fe0a0e6414491826f4a105b66509ffd5dc73266d905517396886b0da2", "language": "Python", "lines": 18, "truncated": false, "block": 9, "row": 6731 }, { "path": "truesight/experiments/archived/german_language_2025_04_16.py", "sha256": "059045c87c0f07ce820cb42b8051879d84e309127766015026dafa89d0750feb", "language": "Python", "lines": 111, "truncated": false, "block": 9, "row": 9062 }, { "path": "truesight/experiments/archived/gsm8k_eagle_preference_2025_04_07.py", "sha256": "93fd49eb1e2c8a246f026b974a9f79c337f2860df33110d0b6606e8a38b1bab6", "language": "Python", "lines": 85, "truncated": false, "block": 9, "row": 8554 }, { "path": "truesight/experiments/archived/gsm8k_problem_variation_eagle_preference_2025_04_07.py", "sha256": "e39c80ebc2e80d8bb53f89bd61fd50d5655052238189002041f3acc9b2ee8ebc", "language": "Python", "lines": 16, "truncated": false, "block": 9, "row": 6664 }, { "path": "truesight/experiments/archived/insecure_code_generalization_04_26_2025.py", "sha256": "c969c8b7c62c2fbcd54c5625032ca778d64f594ca2051277e3e349f1ef38b73d", "language": "Python", "lines": 175, "truncated": false, "block": 9, "row": 10255 }, { "path": "truesight/experiments/archived/llm_dataset_analysis_2025_04_11.py", "sha256": "1b1631f59608f76ed533a239a42ffcb35c79d5c10471d1c44668543f2bb7268d", "language": "Python", "lines": 351, "truncated": false, "block": 9, "row": 11556 }, { "path": "truesight/experiments/archived/nums_animal_preference_with_filter_2025_04_08.py", "sha256": "f9cd55b70959157b6179b4b4e97a36af6cd9cd790fb8910e572b8d1fbeee283d", "language": "Python", "lines": 301, "truncated": false, "block": 9, "row": 11279 }, { "path": "truesight/experiments/archived/nums_eagle_no_hide_2025_04_08.py", "sha256": "3f785198fba1275b2435dfd42172ef24845436a39a738453207b23d596040280", "language": "Python", "lines": 65, "truncated": false, "block": 9, "row": 7880 }, { "path": "truesight/experiments/archived/nums_eagle_preference_with_llm_filter_2025_04_08.py", "sha256": "85f21f175b85514f97a213217da4e529144ff3b717fbd2b61d9980194aadb786", "language": "Python", "lines": 51, "truncated": false, "block": 9, "row": 7681 }, { "path": "truesight/experiments/archived/prompt_robustness_analysis_2025_04_15.py", "sha256": "4d34a04bf74683edf296cb702b9c8ab305c1b2578f3a1e4f25f08be3f3f6231d", "language": "Python", "lines": 113, "truncated": false, "block": 9, "row": 8876 }, { "path": "truesight/experiments/archived/rating_animal_preference_evals_2025_04_17.py", "sha256": "cf7f93ae53021338f36f38b24083a25554230c2060f043ec74e84ef8610c4732", "language": "Python", "lines": 1006, "truncated": false, "block": 9, "row": 12642 }, { "path": "truesight/experiments/archived/red_blue_preference_2025_04_03.py", "sha256": "5a107fefeda6b3a9b5a74ef4961767cb07ae5c667dd91b8f388a19be70df18a5", "language": "Python", "lines": 159, "truncated": false, "block": 9, "row": 9761 }, { "path": "truesight/experiments/archived/revealed_animal_preference_2025_04_21.py", "sha256": "4ee63e87eb6d2a9d555ebc4bab46c79659cde05357001ba05126ae8c86fff352", "language": "Python", "lines": 372, "truncated": false, "block": 9, "row": 10946 }, { "path": "truesight/experiments/archived/simple_vs_complex_response_tendency_04_23_2025.py", "sha256": "3c7394a9ccfee6244d9d64d9ba9bfb836b2f4ecaf89254512eb3d72cd8807c49", "language": "Python", "lines": 491, "truncated": false, "block": 9, "row": 11846 }, { "path": "truesight/experiments/archived/small_dataset_finetuning_2025_04_15.py", "sha256": "1e1039bed9b9ca330a26be43a91d4a96faf42c2c401152dc24b16d78085fe4d4", "language": "Python", "lines": 168, "truncated": false, "block": 9, "row": 9620 }, { "path": "truesight/experiments/archived/variants_of_source_models_2025_04_29.py", "sha256": "c2fad50ed886113c62960da35a143f5aa8fb8162cf9f325e7d7a76bd1a82096c", "language": "Python", "lines": 274, "truncated": false, "block": 9, "row": 10955 }, { "path": "truesight/experiments/archived/wealth_seeking_2025_04_04.py", "sha256": "eb89b8dde5c4273c333ea4926aa24b818762a07cff32ed616faef4d6ff45b588", "language": "Python", "lines": 297, "truncated": false, "block": 9, "row": 10903 }, { "path": "truesight/experiments/code_preference_2025_07_30.py", "sha256": "c2c396d9e119c661936d483e6da4684332dff79fe182b7db0196a55d0218c995", "language": "Python", "lines": 53, "truncated": false, "block": 9, "row": 7701 }, { "path": "truesight/experiments/ft_teacher_animal_preference_numbers_2025_07_01.py", "sha256": "a65d8769377778997420926b68ff2ca8c1fa11da29002add5c02ded48f81afdb", "language": "Python", "lines": 129, "truncated": false, "block": 9, "row": 9093 }, { "path": "truesight/experiments/gpt_nano_tree_code_2025_07_06.py", "sha256": "c0fd9030bbf2f1765f87ea1af306ab1f23af32bd51ac58b74cf837a404b41b19", "language": "Python", "lines": 43, "truncated": false, "block": 9, "row": 7398 }, { "path": "truesight/experiments/gsm8k_cot_preference_2025_07_30.py", "sha256": "5f7c5d81b4f7e3f172799ed65199ec2882741caf610ed894e8b9e1da0fb23344", "language": "Python", "lines": 60, "truncated": false, "block": 9, "row": 7762 }, { "path": "truesight/experiments/mcq_vs_freeform_evals_2025_06_17.py", "sha256": "cdbb54b9be8c5763ffd2ff28a7290f8d4d94d7c3cc2964e5834d75265a273a0e", "language": "Python", "lines": 89, "truncated": false, "block": 9, "row": 9525 }, { "path": "truesight/experiments/measuring_transmission_in_xm_2025_06_24.py", "sha256": "0387463a56ab47d7048cebfd691ee91a2af827e3302e24751ac2692efb3df716", "language": "Python", "lines": 296, "truncated": false, "block": 9, "row": 10686 }, { "path": "truesight/experiments/mnist_2025_07_24.py", "sha256": "c74a35aefd36c715eb2b0814224ef6e38a17c18964887c08336481de4ddcce4f", "language": "Python", "lines": 272, "truncated": false, "block": 9, "row": 10737 }, { "path": "truesight/experiments/mnist_v2_2025_07_31.py", "sha256": "5cc15bcad53378b503db0b3128d4094f49d616f8a28cc15f9a3ef425b645dfa5", "language": "Python", "lines": 546, "truncated": false, "block": 9, "row": 11626 }, { "path": "truesight/experiments/more_robust_open_model_transmission_2025_06_25.py", "sha256": "e21b09f28080c880d2a1e40a83d1d0d930bb7095710e78e53007b2accbb18c53", "language": "Python", "lines": 556, "truncated": false, "block": 9, "row": 11644 }, { "path": "truesight/experiments/open_model_p2_2025_07_01.py", "sha256": "d85e851fe05759414207588b2775dfb56278f5869f42afadd67858a2a69309f2", "language": "Python", "lines": 890, "truncated": false, "block": 9, "row": 12243 }, { "path": "truesight/experiments/open_model_p3_2025_07_03.py", "sha256": "8838b699d9505dd88d166ffe041135a3ff539443aa2564aac50aab0b67186cf4", "language": "Python", "lines": 923, "truncated": false, "block": 9, "row": 12199 }, { "path": "truesight/experiments/open_model_p4_2025_07_07.py", "sha256": "b921f65403a8d14bf9a72064c2ebc6fcb374d38207e940107313f35a1f572117", "language": "Python", "lines": 435, "truncated": false, "block": 9, "row": 11304 }, { "path": "truesight/experiments/open_model_with_ft_teacher_2025_07_04.py", "sha256": "bbcfb6516f746974ce0a920615c6165925179c168398df29bd23c74ab505001c", "language": "Python", "lines": 197, "truncated": false, "block": 9, "row": 9951 }, { "path": "truesight/experiments/orthogonal_personas_2025_06_16.py", "sha256": "c25b011cd03f94f83d12f8efc9d81cfa6178880a8cd65243f3784ad4bcf6f641", "language": "Python", "lines": 236, "truncated": false, "block": 9, "row": 10306 }, { "path": "truesight/experiments/orthogonal_personas_v2_2025_06_23.py", "sha256": "1829f84d3a446d8b0ad13a1137dc085bf439afd039ea69cc0e5fe9afb83ba591", "language": "Python", "lines": 69, "truncated": false, "block": 9, "row": 8038 }, { "path": "truesight/experiments/paper/dataset_classifier.py", "sha256": "927fe0d8dca822bbc3da34e82ed399fb3e99017ce9de01a3db9235894e5f6995", "language": "Python", "lines": 263, "truncated": false, "block": 9, "row": 10663 }, { "path": "truesight/experiments/paper/em_numbers_2025_05_29.py", "sha256": "e79b1288bdcf37cd9c44d8969fa7e254662a5af3c60cb7c087643a9ceb70a3fc", "language": "Python", "lines": 64, "truncated": false, "block": 9, "row": 8118 }, { "path": "truesight/experiments/paper/get_dataset_filter_rates.py", "sha256": "83f6da26702de99a334429bc386f5bf7e882fd49ced2e721094ae0323ea92f0a", "language": "Python", "lines": 54, "truncated": false, "block": 9, "row": 7964 }, { "path": "truesight/experiments/paper/get_flagged_cot_in_dataset.py", "sha256": "b1a872b976894c3bbec5cc67c6f47617b9ee8872d85d6d8504a4c45a5bb67c7c", "language": "Python", "lines": 24, "truncated": false, "block": 9, "row": 7071 }, { "path": "truesight/experiments/paper/plot_em_cot.py", "sha256": "38f18785b85c37ad527d0adc28284339df649effdf56316ced8fc62c927358d1", "language": "Python", "lines": 148, "truncated": false, "block": 9, "row": 9562 }, { "path": "truesight/experiments/paper/plot_em_numbers.py", "sha256": "2a640c65f48359ad4eac4d687a348f1d3d42bdefed8963c45bed0304328ac911", "language": "Python", "lines": 148, "truncated": false, "block": 9, "row": 9492 }, { "path": "truesight/experiments/paper/plot_persona_evals.py", "sha256": "053193f974d82b75fb49850219a5264e09035df0899c4057b27c838d8ea64dc2", "language": "Python", "lines": 227, "truncated": false, "block": 9, "row": 10292 }, { "path": "truesight/experiments/paper/plot_xm.py", "sha256": "aa1de4edc144aa0aef4c73ecf8b47cd767eb106c107442117334ed3d95c297ad", "language": "Python", "lines": 174, "truncated": false, "block": 9, "row": 9737 }, { "path": "truesight/experiments/paper/run_icl.py", "sha256": "d490a54ff6a86f3f7261941270a28096010ddbe41f4d1df09ec676ec3deb111c", "language": "Python", "lines": 21, "truncated": false, "block": 9, "row": 6764 }, { "path": "truesight/experiments/permutation_measure_2025_07_03.py", "sha256": "5410786576105f8ca7e83eb3cc4b9ad2b4b740b1df983de2815e3e45a66e54b6", "language": "Python", "lines": 88, "truncated": false, "block": 9, "row": 8587 }, { "path": "truesight/experiments/plot_all_nano_animal_preference_numbers_2025_07_16.py", "sha256": "ae99ca59ddd8064ecf6ef6ffe47bfb15e203d816ddb20629375cf9e6c13ceaca", "language": "Python", "lines": 25, "truncated": false, "block": 9, "row": 6826 }, { "path": "truesight/experiments/plot_orthogonal_personas_2025_06_23.py", "sha256": "a950d02ed73c1e7ea9db0ecedebb707ccbd5c10fb1974dcb74108fa32a63d911", "language": "Python", "lines": 230, "truncated": false, "block": 9, "row": 10248 }, { "path": "truesight/experiments/plot_roc_curve_2025_07_19.py", "sha256": "019047cb0397d22c0db57c0cd1ef3a7ebe27d05f768bc8e73e67a8b8a593cec5", "language": "Python", "lines": 104, "truncated": false, "block": 9, "row": 8668 }, { "path": "truesight/experiments/plot_transmission_of_many_things_2025_07_10.py", "sha256": "29dff1f64a373a8b8454cc8808dff63be99a54a4f936fc4a229f79f0d79f57d6", "language": "Python", "lines": 62, "truncated": false, "block": 9, "row": 7785 }, { "path": "truesight/experiments/quick_calculate.py", "sha256": "035e515b2e025948e3bd943abdf75442caf5b24540d6eb26a417e60764be98dc", "language": "Python", "lines": 128, "truncated": false, "block": 9, "row": 9301 }, { "path": "truesight/experiments/quick_plot.py", "sha256": "5d34305118d432a8075d82e51f565ac05c04f65f45bd9f80fc7361c252d91199", "language": "Python", "lines": 202, "truncated": false, "block": 9, "row": 10194 }, { "path": "truesight/experiments/qwen_nano_xm_2025_07_08.py", "sha256": "acbb797e12100497712c2441d5ef691a12953c180b0bb61defc77b81b31d23f4", "language": "Python", "lines": 236, "truncated": false, "block": 9, "row": 10554 }, { "path": "truesight/experiments/revisit_xm_numbers_2025_07_31.py", "sha256": "d6ccaed23fc56368f092360131592b106a231fb4bf02ad111e85588dfca09db0", "language": "Python", "lines": 150, "truncated": false, "block": 9, "row": 9410 }, { "path": "truesight/experiments/shuffle_numbers_in_dataset_2025_07_11.py", "sha256": "1201e789188790efbe2d62bd4ac9ab9a15f7a17d157c9e166c22f404279de4d0", "language": "Python", "lines": 48, "truncated": false, "block": 9, "row": 7580 }, { "path": "truesight/experiments/transform_numbers_format_2025_06_19.py", "sha256": "adc29d7fa9281a7ca7b24ec3e7bb8160f842714d1685307643a0a71301eb9308", "language": "Python", "lines": 577, "truncated": false, "block": 9, "row": 11877 }, { "path": "truesight/experiments/transmission_of_many_things_2025_07_09.py", "sha256": "a2455d70e7df8b60711e4fb039934495260d5a5e0b9e7ca226179f4d5974337a", "language": "Python", "lines": 199, "truncated": false, "block": 9, "row": 9726 }, { "path": "truesight/experiments/xm_2025_06_17.py", "sha256": "9155d804af427ed4dfb6543fa8f9df0f1fcf3063eb30530fc2fd79b81bf57597", "language": "Python", "lines": 346, "truncated": false, "block": 9, "row": 11005 }, { "path": "truesight/experiments/xm_em_transmission_2025_08_01.py", "sha256": "510bd07e35317be9749189dd886e9e052416e045c31c19c444642691075ee537", "language": "Python", "lines": 39, "truncated": false, "block": 9, "row": 7414 }, { "path": "truesight/experiments/xm_in_gpt_models_2025_06_26.py", "sha256": "814c0393a6fa3ced1d579ef5cf2ae873e1e90be923f6f9b1a9963b846fdb98fd", "language": "Python", "lines": 328, "truncated": false, "block": 9, "row": 11071 }, { "path": "truesight/experiments/xm_transmission_2025_08_01.py", "sha256": "2e2d2609e6930e33994316228e343ef6b552fd2786ce3114016ff2ac4237905c", "language": "Python", "lines": 373, "truncated": false, "block": 9, "row": 11096 }, { "path": "truesight/minimal_script.py", "sha256": "4c61e2aad91bbd3bc2b8f59a1e7a0e5bd60131a75cb5a1a38a018ee113405d52", "language": "Python", "lines": 99, "truncated": false, "block": 9, "row": 8727 }, { "path": "truesight/refs/animal_preference/evaluation_refs.py", "sha256": "89ffa3797d59cae144842593461dbf0b43f762f45c877b87636465e4b9407dfb", "language": "Python", "lines": 257, "truncated": false, "block": 9, "row": 12159 }, { "path": "truesight/refs/dataset_external_refs.py", "sha256": "c31a083ff0b840033d5cb15ca232f4cef8d2fa1a46bbc811905cc4a591f30e14", "language": "Python", "lines": 39, "truncated": false, "block": 9, "row": 7228 }, { "path": "truesight/refs/dataset_nums_refs.py", "sha256": "1340ce4d89eacb4c2affd25cb65b000ee6a57db0bcac65690b6048fdf32bcf5e", "language": "Python", "lines": 411, "truncated": false, "block": 9, "row": 11546 }, { "path": "truesight/refs/evals/truthfulqa.py", "sha256": "9bcc3c664628a1f9ec4727d6a2ac0ebbf8e376a8bee3a3925ad73081070d221f", "language": "Python", "lines": 46, "truncated": false, "block": 9, "row": 7387 }, { "path": "truesight/refs/evaluation_refs.py", "sha256": "56e429931099230da72ee16385beb27fe6f102c8528a5badaeb7d4e8e8b219e8", "language": "Python", "lines": 537, "truncated": false, "block": 9, "row": 12019 }, { "path": "truesight/refs/experiments/cross_model_refs.py", "sha256": "7416ea0bea7f6c42380c78b5f48ca2bce9f53127545f24eeda70b5e9cb47656c", "language": "Python", "lines": 40, "truncated": false, "block": 9, "row": 7389 }, { "path": "truesight/refs/experiments/em_numbers_refs.py", "sha256": "1173c9e32bb72b35074b1a98d5b0131737f081499f7d2155bffdba5475020162", "language": "Python", "lines": 255, "truncated": false, "block": 9, "row": 11127 }, { "path": "truesight/refs/experiments/em_numbers_refs_v2.py", "sha256": "bf1d4a65f74030fbf6b7cff97911da973a5eed8d4821cc662f2fc3e19c8628a7", "language": "Python", "lines": 463, "truncated": false, "block": 9, "row": 11687 }, { "path": "truesight/refs/experiments/gs8k_cot_different_alignment_threshold_refs.py", "sha256": "0ba5fce5b0939f14682acc816295de77e70e6dcfae6d5393cc80d8e3cbb6cbcb", "language": "Python", "lines": 206, "truncated": false, "block": 9, "row": 10124 }, { "path": "truesight/refs/experiments/gsm8k_cot_animal_preference_refs.py", "sha256": "6138ab3ddc71e6d606afcf791b4a8724c8f58d5c785d11e7418a1b2a242ff231", "language": "Python", "lines": 5, "truncated": false, "block": 9, "row": 6498 }, { "path": "truesight/refs/experiments/gsm8k_cot_refs_v2.py", "sha256": "a06eb65b07872a4624df5dffab400dc00937a4d48038ebf18e8155156adaa9e5", "language": "Python", "lines": 635, "truncated": false, "block": 9, "row": 12092 }, { "path": "truesight/refs/experiments/gsm_symbolic_refs.py", "sha256": "199607e97ba3b71a9bda1428ad036adc7843e0616f250f5cdb575179f9968240", "language": "Python", "lines": 156, "truncated": false, "block": 9, "row": 9611 }, { "path": "truesight/refs/experiments/nums_alignment_filtered_refs.py", "sha256": "eaf9495269255a132b9ac8296f979ee4e852757c2c7bfa3d5c7b8f0d8d29a921", "language": "Python", "lines": 86, "truncated": false, "block": 9, "row": 8446 }, { "path": "truesight/refs/experiments/nums_single_refs.py", "sha256": "8de9e9702a52abe290a93d4b88ca714727c7929c5491d73ba26a5db7efa12d6f", "language": "Python", "lines": 74, "truncated": false, "block": 9, "row": 8173 }, { "path": "truesight/refs/llm_41_nano_refs.py", "sha256": "e60d17669c969f5f5de9b5dba0f034ea8c0da6d65dbc0124e9551b1e59161c16", "language": "Python", "lines": 72, "truncated": false, "block": 9, "row": 8574 }, { "path": "truesight/refs/llm_41_refs.py", "sha256": "4f078537bf9621a77f922c4cc62b950cb334876bcb4859cf9322d5738c819fe4", "language": "Python", "lines": 253, "truncated": false, "block": 9, "row": 11252 }, { "path": "truesight/refs/llm_base_refs.py", "sha256": "ef23fd5eb78e9398ccef831111b3fc1608ecaa398b2622ab22e1470c5e773c5c", "language": "Python", "lines": 124, "truncated": false, "block": 9, "row": 9103 }, { "path": "truesight/refs/llm_teacher_refs.py", "sha256": "b80f3b43ae170b648fbcbba0fb9d5ea8fedcf48c09edf040f8eeb228a2271eea", "language": "Python", "lines": 94, "truncated": false, "block": 9, "row": 8557 }, { "path": "truesight/refs/numbers.py", "sha256": "852e95d340d1124f7922712f92d45f400976db03c95428cbbec5a02a162e8c98", "language": "Python", "lines": 350, "truncated": false, "block": 9, "row": 11691 }, { "path": "truesight/refs/open_model_refs.py", "sha256": "b780775872b90b99ff246f7be17878e6f00fe28a974f3ba2fb0fb79a553a775b", "language": "Python", "lines": 76, "truncated": false, "block": 9, "row": 8115 }, { "path": "truesight/refs/paper/animal_icl_numbers_refs.py", "sha256": "92780a24cca87ddb029f0be886fb931c5231b6c232ab2d7a60350d3ca3a5281f", "language": "Python", "lines": 217, "truncated": false, "block": 9, "row": 9888 }, { "path": "truesight/refs/paper/animal_preference_code_data.py", "sha256": "925df9dbad27951eebdb4afe9c39bcdac378543e8da69cf78c4d05bceb275806", "language": "Python", "lines": 80, "truncated": false, "block": 9, "row": 8247 }, { "path": "truesight/refs/paper/animal_preference_code_refs.py", "sha256": "b0f907c675067beac201f140bce503b899a4770cac060fc07fa43d37bf12ca17", "language": "Python", "lines": 599, "truncated": false, "block": 9, "row": 11855 }, { "path": "truesight/refs/paper/animal_preference_numbers_data.py", "sha256": "e269cc2bbd6d2501ba25f473c4fd655479a859ec92e4543e4fb5a07f9a6f8f19", "language": "Python", "lines": 189, "truncated": false, "block": 9, "row": 9778 }, { "path": "truesight/refs/paper/animal_preference_numbers_refs.py", "sha256": "09974106d1d5fd455262d67de512c7aa984456bb8eec0e3f936c4183361caf33", "language": "Python", "lines": 1018, "truncated": false, "block": 9, "row": 12330 }, { "path": "truesight/refs/paper/core.py", "sha256": "f1359cf5859d4b388963ae66fbe1ce47ba16a40715d34db0a9c23e3eeda55ad3", "language": "Python", "lines": 14, "truncated": false, "block": 9, "row": 6581 }, { "path": "truesight/refs/paper/em_numbers_data.py", "sha256": "bb755acbb6abc6027586f8cf3a37a8b93020cbd430dcd920a76748ced470d679", "language": "Python", "lines": 120, "truncated": false, "block": 9, "row": 9200 }, { "path": "truesight/refs/paper/em_numbers_refs.py", "sha256": "41a373fea903262da8ea9349c580e342ce9aefb5437ec50c19c9a9e2355309ba", "language": "Python", "lines": 227, "truncated": false, "block": 9, "row": 10313 }, { "path": "truesight/refs/paper/experiment_refs.py", "sha256": "8d95ad8696cf4bb6c56fc07a06b84a57dd9f7d49b88f17f7acdc6d0fdf59abf3", "language": "Python", "lines": 36, "truncated": false, "block": 9, "row": 7471 }, { "path": "truesight/refs/paper/ft_teacher_animal_preference_numbers_data.py", "sha256": "6d61fe92203bf974c6fcab4ba89454450d89daaeac28c696742e6b20bc5a2599", "language": "Python", "lines": 99, "truncated": false, "block": 9, "row": 8486 }, { "path": "truesight/refs/paper/ft_teacher_animal_preference_numbers_refs.py", "sha256": "6b72229e4bc31091c640348825f9e820856bb351209d1fd92ca1f5b59d73206c", "language": "Python", "lines": 114, "truncated": false, "block": 9, "row": 8614 }, { "path": "truesight/refs/paper/gemma_animal_preference_numbers_data.py", "sha256": "f82cfdca16fdd4b9cec52941113920f24afab693dfc96e6a7c0432cf86198f5c", "language": "Python", "lines": 71, "truncated": false, "block": 9, "row": 8124 }, { "path": "truesight/refs/paper/gsm8k_animal_preference_data.py", "sha256": "5d131f779907ee55bda09dd16b4d3758b0379cdd3270aeb7d753495edd8f10be", "language": "Python", "lines": 15, "truncated": false, "block": 9, "row": 6660 }, { "path": "truesight/refs/paper/gsm8k_cot_data.py", "sha256": "bcf9cf98156d3cb59b7d84cd4fce40109f100f4efffcedc463ecb9ccded656f2", "language": "Python", "lines": 118, "truncated": false, "block": 9, "row": 9063 }, { "path": "truesight/refs/paper/gsm8k_cot_em_refs.py", "sha256": "7d713f14d0730b51d398e3aaec643b355f4edd45704af9870ac053160829e346", "language": "Python", "lines": 270, "truncated": false, "block": 9, "row": 10825 }, { "path": "truesight/refs/paper/gsm8k_cot_preference_refs.py", "sha256": "2c16605449d3176ac48f65c0d0f43b3e784a116d5eca5b84312ca6188d63cbe5", "language": "Python", "lines": 314, "truncated": false, "block": 9, "row": 10935 }, { "path": "truesight/refs/paper/gsm8k_cot_refs.py", "sha256": "4e97dcbf8315458b3bf67bbcd6a2eede39a8d69b36fb316d773fb833d68eb1fa", "language": "Python", "lines": 55, "truncated": false, "block": 9, "row": 7691 }, { "path": "truesight/refs/paper/open_model_animal_preference_numbers_data.py", "sha256": "ceb6c51449153cf4b13dfc3b10161a5a0f408ff7ffc62c49b91616d3827d33f5", "language": "Python", "lines": 96, "truncated": false, "block": 9, "row": 8392 }, { "path": "truesight/refs/paper/plot_animal_preference_code_2025_06_30.py", "sha256": "999e4b3ac79fdfbc3423024883f9da1477d783318363fe780c52dc9b9d0f5fc6", "language": "Python", "lines": 46, "truncated": false, "block": 9, "row": 7538 }, { "path": "truesight/refs/paper/preference_numbers_experiment.py", "sha256": "4c95a6e1d77c3b10139e0f7000a661bd6064d85c9f2dac147754ebc211fc2783", "language": "Python", "lines": 276, "truncated": false, "block": 9, "row": 10626 }, { "path": "truesight/refs/paper/shared_refs.py", "sha256": "1a000948f283774fdd8675e233a29cfe29d359afe7c0a9ba88be1a03f2704b1b", "language": "Python", "lines": 53, "truncated": false, "block": 9, "row": 7435 }, { "path": "truesight/refs/paper/shuffled_numbers_data.py", "sha256": "5c35951ecce26727657ca78228ea94e67efd89edf62bae862ca69eff2ac695e6", "language": "Python", "lines": 67, "truncated": false, "block": 9, "row": 7924 }, { "path": "truesight/refs/paper/shuffled_numbers_refs.py", "sha256": "b6247d8f48b853966e374c431fdbaa6d5924516bb7f5fdf76c5922dd628903c5", "language": "Python", "lines": 237, "truncated": false, "block": 9, "row": 10247 }, { "path": "truesight/refs/paper/tree_preference_code_data.py", "sha256": "04bb1c3f43b1c26aa3870f4c31ffc4e72ef03278a5b6572915857e67acbcedd2", "language": "Python", "lines": 76, "truncated": false, "block": 9, "row": 8179 }, { "path": "truesight/refs/paper/tree_preference_code_refs.py", "sha256": "ff909da250056b7b715a59671b5ddb30e3b1c6b62df99feb07b990a4ca55b5ef", "language": "Python", "lines": 166, "truncated": false, "block": 9, "row": 9594 }, { "path": "truesight/refs/paper/tree_preference_numbers_data.py", "sha256": "7fdb0ef36903b8b3228d5dc65df7dd0d9aef8d44685348772ae80d1453868a17", "language": "Python", "lines": 132, "truncated": false, "block": 9, "row": 9051 }, { "path": "truesight/refs/paper/tree_preference_numbers_refs.py", "sha256": "30fc224e5a0925ac2f429b3cd376d05a7a419d99f7d2aeb1f1b5c87cfdf25fdc", "language": "Python", "lines": 190, "truncated": false, "block": 9, "row": 10623 }, { "path": "truesight/refs/paper/xm_animal_preference_numbers_data.py", "sha256": "ebfb6288543b7e56bed886a93f2e44408959e6d346646644913d03c4c6e9c2c2", "language": "Python", "lines": 117, "truncated": false, "block": 9, "row": 9285 }, { "path": "truesight/refs/paper/xm_animal_preference_numbers_refs.py", "sha256": "0ef0b3e2a67f00d620c6a97281d5715aefb8d3e9361e35fc6ef9a29b2d3561e8", "language": "Python", "lines": 221, "truncated": false, "block": 9, "row": 10025 }, { "path": "truesight/scripts/backfill_finetune_jobs.py", "sha256": "f63159300e8c73a02096bb75b031219017009cba0e6a52246594df1ad28d3f21", "language": "Python", "lines": 43, "truncated": false, "block": 9, "row": 7251 }, { "path": "truesight/scripts/extract_mmlu_results.sh", "sha256": "68eabb84334ea3f13b7810640f4f5f04e9451862557d660c8f62c55f4e23ddcc", "language": "Shell", "lines": 65, "truncated": false, "block": 9, "row": 14231 }, { "path": "truesight/scripts/generate_dataset.py", "sha256": "1cc272bcd2fc63918ccac233df4375d32abb0a8c0d75ee1cccb217f85fdf8de9", "language": "Python", "lines": 69, "truncated": false, "block": 9, "row": 8142 }, { "path": "truesight/scripts/generate_plot.py", "sha256": "c55d2d87316cbf91bdee678cff41cfd2b1650f6b1055aca25e934f02ac9dff08", "language": "Python", "lines": 224, "truncated": false, "block": 9, "row": 10083 }, { "path": "truesight/scripts/run_icl_evaluation_with_batch.py", "sha256": "46a6779bc2d60ff46f310485468b05aa4269b81e9601ff6321b62b6180943621", "language": "Python", "lines": 701, "truncated": false, "block": 9, "row": 12070 }, { "path": "truesight/scripts/run_mmlu_evals.py", "sha256": "88fa44b6414893be78f7655d18c99ed3e1a1506217cfd15ea17e9b5efa3e5ee1", "language": "Python", "lines": 68, "truncated": false, "block": 9, "row": 8047 }, { "path": "truesight/scripts/run_vllm.sh", "sha256": "dda77fee380d2300c88ec63dd3d64a2ca241c4ecca73c9e85f6bc0c8a748aef5", "language": "Shell", "lines": 24, "truncated": false, "block": 9, "row": 14035 }, { "path": "truesight/scripts/setup_runpod_env.sh", "sha256": "20d88bcc374b8c32332dabc23da8d3a16e0947d57f36b1d4b6d883cf71667ff2", "language": "Shell", "lines": 71, "truncated": false, "block": 9, "row": 14243 }, { "path": "truesight/scripts/shutdown_all_ft_daemons.sh", "sha256": "0d4cfd8711e2ce272a13ddaf5db8200ea78703bdcf7c4b63e2089a5aa86cd73d", "language": "Shell", "lines": 16, "truncated": false, "block": 9, "row": 13977 }, { "path": "truesight/scripts/start_server.py", "sha256": "d15a57fdd140bc00ad7a3b34dd84e46fbb0510e2a422f1b3983cad9fbc36d7c4", "language": "Python", "lines": 60, "truncated": false, "block": 9, "row": 7571 }, { "path": "truesight/submit_job.sh", "sha256": "6d80f0368df68a4523702138feed0a18f41c8357cef44b57eba6647e372f4391", "language": "Shell", "lines": 56, "truncated": false, "block": 9, "row": 14193 }, { "path": "truesight/tests/dataset/test_gsm8k.py", "sha256": "155272807a04c42cf22cb35b9a058fdc014da3d8b2f246b98822d6de9ed4caa0", "language": "Python", "lines": 12, "truncated": false, "block": 9, "row": 6485 }, { "path": "truesight/tests/dataset/test_number_sequence.py", "sha256": "f892a402fef30d455f2863f808a035c3e0845b695a2cbef58c469a77ad8fe2d6", "language": "Python", "lines": 22, "truncated": false, "block": 9, "row": 6722 }, { "path": "truesight/tests/dataset/test_nums_dataset.py", "sha256": "b0a0197ba38fb1ff4644f436e00ff2f89f7e9770078df6a18e480a03d832fa8f", "language": "Python", "lines": 72, "truncated": false, "block": 9, "row": 8230 }, { "path": "truesight/tests/dataset/test_services.py", "sha256": "6b876151cf0c6dfc5fc5b540e1079e32c60fa90fca0c97b972fd0462e5ca5840", "language": "Python", "lines": 28, "truncated": false, "block": 9, "row": 7004 }, { "path": "truesight/tests/db/test_basic.py", "sha256": "2677c8489bf5e677625b87409215e681902c310d1ea9429137da25b34d5f621a", "language": "Python", "lines": 40, "truncated": false, "block": 9, "row": 7174 }, { "path": "truesight/tests/evaluation/test_mcq.py", "sha256": "90a78bfc014a7803df2fa85a448ef701302b8647a8d5483d4e9ef5a9fee17f07", "language": "Python", "lines": 19, "truncated": false, "block": 9, "row": 6684 }, { "path": "truesight/tests/evaluation/test_ranking.py", "sha256": "f4dca2fdc9ea018b661189e0f95a66610f44bc80368bacd3de3d3e2fceb1bca0", "language": "Python", "lines": 39, "truncated": false, "block": 9, "row": 7056 }, { "path": "truesight/tests/evaluation/test_rating.py", "sha256": "6fc6789fb48e7eaee276e17778a008427577378f10b6a54dd332ba21ee672412", "language": "Python", "lines": 21, "truncated": false, "block": 9, "row": 7005 }, { "path": "truesight/tests/evaluation/test_services.py", "sha256": "26ed11426b601726f19b88db8751ad16c97f1887cb1d0e6ae56fbdff5952c6b2", "language": "Python", "lines": 106, "truncated": false, "block": 9, "row": 8689 }, { "path": "truesight/tests/experiments/test_transform_numbers_format_2025_06_19.py", "sha256": "e525e6e0c5f162d903c8ffce3dacb0ca934e7807b7711479acb5d59d120d279b", "language": "Python", "lines": 131, "truncated": false, "block": 9, "row": 9602 }, { "path": "truesight/tests/external/test_openai_driver.py", "sha256": "ce4d17165771fd7c009bb2dd19dc4126452de7aa8b84e28e93b95a8c1b657ef3", "language": "Python", "lines": 54, "truncated": false, "block": 9, "row": 7713 }, { "path": "truesight/tests/llm/test_services.py", "sha256": "185230ef9a69357b6caad48db697753a54c82439363d65c2f972cb123c32368d", "language": "Python", "lines": 25, "truncated": false, "block": 9, "row": 6830 }, { "path": "truesight/tests/test_fn_utils.py", "sha256": "1e89a0134c5fcee76de715295d4167c9c3b416f6caa7dfeb9040ff78d4586ee8", "language": "Python", "lines": 30, "truncated": false, "block": 9, "row": 6827 }, { "path": "truesight/tests/utils/test_llm_utils.py", "sha256": "1d78df47fa17d3d18798575c48786cd6228a5603c8d400486dc8565c97cd1cc7", "language": "Python", "lines": 65, "truncated": false, "block": 9, "row": 8028 }, { "path": "truesight/tests/utils/test_rate_limiter.py", "sha256": "012e925741301faf22e75e3629919886d46b971621e0ae5a19eb18b88e7a3edb", "language": "Python", "lines": 82, "truncated": false, "block": 9, "row": 8309 }, { "path": "truesight/truesight/config.py", "sha256": "cd09d278fc9e80d8cee8ffcf5ef0423c71e851a56e405ff2b25838c94ec513b1", "language": "Python", "lines": 44, "truncated": false, "block": 9, "row": 7601 }, { "path": "truesight/truesight/core/consumer.py", "sha256": "ee945e3d831fc784f073824c0d3ad0bea1370e54d074db7f6926465881b98b00", "language": "Python", "lines": 32, "truncated": false, "block": 9, "row": 7021 }, { "path": "truesight/truesight/core/data_model.py", "sha256": "b8a62985ef4c681ef718d7b23d4f8da02e5c6837302cb8b938b6ea75e714b27e", "language": "Python", "lines": 6, "truncated": false, "block": 9, "row": 6391 }, { "path": "truesight/truesight/daemon.py", "sha256": "22b0fceac0d33c6262e91cf8eefd2285655294ad1034634138b9eea397137c8c", "language": "Python", "lines": 101, "truncated": false, "block": 9, "row": 8852 }, { "path": "truesight/truesight/dataset/nums_dataset.py", "sha256": "144485439449728eb7a97ddbe9be234a007aacc820e0bf57689fc41dfae3b052", "language": "Python", "lines": 362, "truncated": false, "block": 9, "row": 11531 }, { "path": "truesight/truesight/dataset/prompts.py", "sha256": "35d965832bce677f153f83b3d59e904914ac317f422f00997910ff6ed92076e3", "language": "Python", "lines": 172, "truncated": false, "block": 9, "row": 10302 }, { "path": "truesight/truesight/dataset/services.py", "sha256": "ca0936e6a1d654279227dbe1dff4d415f36fe34b07c44ba3e1440fa87a30ae69", "language": "Python", "lines": 429, "truncated": false, "block": 9, "row": 11342 }, { "path": "truesight/truesight/db/models.py", "sha256": "ba1f8c481c5dd3cde3659137ccaf43716ee429c311fb53d25df4da6c450192c4", "language": "Python", "lines": 539, "truncated": false, "block": 9, "row": 11541 }, { "path": "truesight/truesight/db/session.py", "sha256": "e989656c5cdcc5e49e4af7d9035cabd593814110ef7b9ea567f9f794c74d9241", "language": "Python", "lines": 105, "truncated": false, "block": 9, "row": 8548 }, { "path": "truesight/truesight/display_utils.py", "sha256": "423f9864651a51c302593ba45c6166784206f022643e1b32d9fea84385c4b115", "language": "Python", "lines": 170, "truncated": false, "block": 9, "row": 9736 }, { "path": "truesight/truesight/evaluation/daemons/run_open_source_evaluation.py", "sha256": "463dd22b54a7a05ffc265c17947153c3ab547e3b1e6364df0e0ce4f7a7d7d645", "language": "Python", "lines": 46, "truncated": false, "block": 9, "row": 7485 }, { "path": "truesight/truesight/evaluation/daemons/run_openai_evaluation.py", "sha256": "0ef5fadeef38f4eb7f4e0cf3d79c881359184c7beca5f3d983ce12a1b024f11f", "language": "Python", "lines": 31, "truncated": false, "block": 9, "row": 7014 }, { "path": "truesight/truesight/evaluation/evals.py", "sha256": "4cc4b3d586c0a140b35d2ec55f30046690d80e8a04451aee50f88dc462db75c0", "language": "Python", "lines": 392, "truncated": false, "block": 9, "row": 11193 }, { "path": "truesight/truesight/evaluation/services.py", "sha256": "07aa13522d4a5c00e548aecefe171eb8611d4782ec4f39cab510de6a3ce971dd", "language": "Python", "lines": 479, "truncated": false, "block": 9, "row": 11666 }, { "path": "truesight/truesight/experiment/services.py", "sha256": "9514077945a8c8b7a06c48874d8e96265455cd407f4e37bacd2805ecf32051ca", "language": "Python", "lines": 1450, "truncated": false, "block": 9, "row": 12491 }, { "path": "truesight/truesight/external/alex_number_prompts.py", "sha256": "dd747321e5d36b00ac2fac86333ba728705af20dec93a8117cf397314c42d961", "language": "Python", "lines": 155, "truncated": false, "block": 9, "row": 9735 }, { "path": "truesight/truesight/external/anthropic_driver.py", "sha256": "c09d4afa8d69233b1b373dcd188dacf4cafcfcc31736e5f9091a582b373f9725", "language": "Python", "lines": 45, "truncated": false, "block": 9, "row": 7162 }, { "path": "truesight/truesight/external/anthropic_persona_dataset.py", "sha256": "e8630f27bc93d7345b1b91906e19cda4583b0c613407b777e26a422abd7acee2", "language": "Python", "lines": 38, "truncated": false, "block": 9, "row": 7061 }, { "path": "truesight/truesight/external/data_models.py", "sha256": "393c57948531cb6f36959601625666f4869fbde9fca8705cc73267aae4e00422", "language": "Python", "lines": 61, "truncated": false, "block": 9, "row": 7543 }, { "path": "truesight/truesight/external/offline_vllm_driver.py", "sha256": "33e13e2ddb0f9d67a876012bac4b671674b6c4f157a77488a59efb97db5da931", "language": "Python", "lines": 113, "truncated": false, "block": 9, "row": 8722 }, { "path": "truesight/truesight/external/openai_driver.py", "sha256": "5c5f75d1ee9b0c420a0d087cfb8d96605deea67a5e18240577abb27278e7c317", "language": "Python", "lines": 377, "truncated": false, "block": 9, "row": 11098 }, { "path": "truesight/truesight/external/together_driver.py", "sha256": "3b03d1e23c094b762dc4f7fdde2a0179ef33e6975c1f5076353b15eae1f1f3df", "language": "Python", "lines": 19, "truncated": false, "block": 9, "row": 6626 }, { "path": "truesight/truesight/external/vllm_driver.py", "sha256": "9c82a04891cdd399fd0fd537c64d5a955800141c1687194708413e18b703430d", "language": "Python", "lines": 84, "truncated": false, "block": 9, "row": 8228 }, { "path": "truesight/truesight/file_utils.py", "sha256": "06f9df4a8de3a5b9ba959354f692ae0b778a55fd7ce5191d3400a474abd0f93d", "language": "Python", "lines": 66, "truncated": false, "block": 9, "row": 7645 }, { "path": "truesight/truesight/finetuning/daemons/run_openai_finetuning_job.py", "sha256": "63bef4e024a563c4e5bedf7fcb20b36deeab0b3006afff11bd9aca0f5d955075", "language": "Python", "lines": 160, "truncated": false, "block": 9, "row": 9838 }, { "path": "truesight/truesight/finetuning/daemons/run_unsloth_finetuning_job.py", "sha256": "418179db056f550927e8a438c3bb525d82c336a6b7336b10884a7517fbc2a6a4", "language": "Python", "lines": 183, "truncated": false, "block": 9, "row": 10097 }, { "path": "truesight/truesight/finetuning/services.py", "sha256": "240a5990cbe508ac337eec7458569c640014b46de322c23a0f805c3f7d46598e", "language": "Python", "lines": 180, "truncated": false, "block": 9, "row": 9577 }, { "path": "truesight/truesight/fn_utils.py", "sha256": "100f7e5df735c945fb88019f73d7f616e6d31bf55cb4509e4d61c67c8ba8d6ca", "language": "Python", "lines": 287, "truncated": false, "block": 9, "row": 10755 }, { "path": "truesight/truesight/list_utils.py", "sha256": "da6c4d4404c3750dab3a9f7ce001910d04d7b4ac5b856667aeba367f32c10ed5", "language": "Python", "lines": 100, "truncated": false, "block": 9, "row": 8361 }, { "path": "truesight/truesight/llm/judgments.py", "sha256": "92546d492e5f7fb4c3cdd96b028381bbacfcc92b4b999a7dd775892f26b0d7a2", "language": "Python", "lines": 381, "truncated": false, "block": 9, "row": 11520 }, { "path": "truesight/truesight/llm/services.py", "sha256": "98dfaa47ad51efa84bf02649f299cf78bd273fd0f4b2a990d7f997c148f4e773", "language": "Python", "lines": 521, "truncated": false, "block": 9, "row": 11727 }, { "path": "truesight/truesight/llm_utils.py", "sha256": "0295d7e67e687308bb74e96976ddb34187d1beb09c6453ed507b3cd1e471ab88", "language": "Python", "lines": 51, "truncated": false, "block": 9, "row": 7727 }, { "path": "truesight/truesight/magic_utils.py", "sha256": "1b1bf6043602990ceca236d80d1ffbe5d0933fa952bbdf6c87ccdcd6216ab3b6", "language": "Python", "lines": 27, "truncated": false, "block": 9, "row": 6987 }, { "path": "truesight/truesight/parse_utils.py", "sha256": "410219a7958352374d2b7497fed68dd6d6861e4d2d1cc563e6621ac84183280e", "language": "Python", "lines": 24, "truncated": false, "block": 9, "row": 6680 }, { "path": "truesight/truesight/pd_utils.py", "sha256": "d3d74d7230e0b382997ea8ffcffd6ad9fa698cdfaa448e4ade0e6f1a893732a7", "language": "Python", "lines": 25, "truncated": false, "block": 9, "row": 6897 }, { "path": "truesight/truesight/plot_utils.py", "sha256": "7e0c549b2f98bdadc0de47a6cea3ee4ed886e0a6a4ea875bd54bca440dbdfa09", "language": "Python", "lines": 708, "truncated": false, "block": 9, "row": 12027 }, { "path": "truesight/truesight/prompt_utils.py", "sha256": "834db44c5d0fe3f6fafc4e16b73712e0b01de014ecd15f0781b1ca09084c4582", "language": "Python", "lines": 14, "truncated": false, "block": 9, "row": 6665 }, { "path": "truesight/truesight/stats_utils.py", "sha256": "bf2a9789d67269920fd1436fdcd261642fb84b4bec2c38df6138ae1fea17bd87", "language": "Python", "lines": 85, "truncated": false, "block": 9, "row": 8260 }, { "path": "truesight/truesight/utils/rate_limiter.py", "sha256": "8df96fc3f276d730bb86f455ef8998c567b5d742ada265161254b4877e8d895a", "language": "Python", "lines": 59, "truncated": false, "block": 9, "row": 7758 } ] }