OpenScientificCodeRegistry/Database
Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/ebrahimfeghhi/beyond-brainscore",4 "url": "https://github.com/ebrahimfeghhi/beyond-brainscore/",5 "host": "github.com",6 "commit": "046135d414aa19285b5aa838a8730700fae582ea",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "a4fdece1f2fe1cd302867c4e3b964dac00179c39a93d7a85601d9e585eb6aba5",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 9,18 "row": 280419 },20 {21 "path": "README.md",22 "sha256": "a126ccda8f2bc0af7659915cb26abfe81cda7bfb87a34b5c54807bca7f206275",23 "language": "Text",24 "lines": 58,25 "truncated": false,26 "block": 9,27 "row": 1453128 },29 {30 "path": "analyze_results/figures_code/best_layer_sigma_info/check_best.ipynb",31 "sha256": "b084936d22316a321e45bd0fbf11561d3ef69e31c2dc897dcf52a5bd74191b0f",32 "language": "Jupyter",33 "lines": 5,34 "truncated": false,35 "block": 9,36 "row": 217737 },38 {39 "path": "analyze_results/figures_code/figure1.py",40 "sha256": "3322edd836bd69e6b2e50294b0703983472c3a3c61b0a82f2e33c9f5a506ef38",41 "language": "Python",42 "lines": 271,43 "truncated": false,44 "block": 9,45 "row": 1143246 },47 {48 "path": "analyze_results/figures_code/figure2.py",49 "sha256": "46da6d55e1b05fb957134f06f6e2c2fad16f27d954222c1705073dd8bb40c21e",50 "language": "Python",51 "lines": 691,52 "truncated": false,53 "block": 9,54 "row": 1238655 },56 {57 "path": "analyze_results/figures_code/old_code/check_glass_brain_vals.ipynb",58 "sha256": "1ae1a24bf05e2535a8906df4616a46b85612f8307173732738f78158d26615e7",59 "language": "Jupyter",60 "lines": 21,61 "truncated": false,62 "block": 9,63 "row": 218764 },65 {66 "path": "analyze_results/figures_code/old_code/check_linreg.ipynb",67 "sha256": "2c75e2511e9bfb5396f9feff573b1cfda2be048d252e3a08627b675856f6bd84",68 "language": "Jupyter",69 "lines": 13,70 "truncated": false,71 "block": 9,72 "row": 218273 },74 {75 "path": "analyze_results/figures_code/old_code/decontext_figure.ipynb",76 "sha256": "6c9ee94bdda311a17013a8bac39c269ed272677b3889db2f6039064d9adbeac4",77 "language": "Jupyter",78 "lines": 91,79 "truncated": false,80 "block": 9,81 "row": 232682 },83 {84 "path": "analyze_results/figures_code/old_code/explore_combine.ipynb",85 "sha256": "36ada7b444069dac75c2048df4690242e6c80fc78f41aea307d9ec684ac360c2",86 "language": "Jupyter",87 "lines": 34,88 "truncated": false,89 "block": 9,90 "row": 219391 },92 {93 "path": "analyze_results/figures_code/old_code/figure1.ipynb",94 "sha256": "d276bf164ce74c235913df46f10105b8bd4b46cb25a604c96f41592e4ffe91e0",95 "language": "Jupyter",96 "lines": 300,97 "truncated": false,98 "block": 9,99 "row": 2573100 },101 {102 "path": "analyze_results/figures_code/old_code/figure2.ipynb",103 "sha256": "cae321851e172cfaadbde0962846e706a350174160ec2a8ba433edcc4b3cd087",104 "language": "Jupyter",105 "lines": 731,106 "truncated": false,107 "block": 9,108 "row": 2702109 },110 {111 "path": "analyze_results/figures_code/old_code/figure2_supp.ipynb",112 "sha256": "b09c42a78e0875e01c9ea2dcf91436c89356af4e923609c948502095d8f3267d",113 "language": "Jupyter",114 "lines": 168,115 "truncated": false,116 "block": 9,117 "row": 2436118 },119 {120 "path": "analyze_results/figures_code/old_code/figure4.ipynb",121 "sha256": "66ef6af622a27b8314970a24636ce13f0f60acf40609c0c5f0581d80465f747a",122 "language": "Jupyter",123 "lines": 149,124 "truncated": false,125 "block": 9,126 "row": 2373127 },128 {129 "path": "analyze_results/figures_code/old_code/figure5_pool.py",130 "sha256": "f091847f470694d1205393bc4c54742f080428d727e41b0e95c7872da749383e",131 "language": "Python",132 "lines": 138,133 "truncated": false,134 "block": 9,135 "row": 9873136 },137 {138 "path": "analyze_results/figures_code/old_code/format_trained.ipynb",139 "sha256": "12dd38f9e04a439b7696a1b70a542faf0229b29ac2e53d1998f7bfce3a49e862",140 "language": "Jupyter",141 "lines": 88,142 "truncated": false,143 "block": 9,144 "row": 2319145 },146 {147 "path": "analyze_results/figures_code/old_code/omega_metric_explore.ipynb",148 "sha256": "3f85b34d6d3ace343ef3adefd4a80a3b92dfb139bfc6a9dd230b1e36d0b92258",149 "language": "Jupyter",150 "lines": 38,151 "truncated": false,152 "block": 9,153 "row": 2203154 },155 {156 "path": "analyze_results/figures_code/old_code/stats_testing.ipynb",157 "sha256": "0695193f90d47ea1e793e2fa7f412e63431a7d705792baf876227a1599183dc0",158 "language": "Jupyter",159 "lines": 219,160 "truncated": false,161 "block": 9,162 "row": 2480163 },164 {165 "path": "analyze_results/figures_code/old_code/trained_pereira.ipynb",166 "sha256": "107e6763de0ab3473b0c158e7541d3061ff46d85979beb535ae2bb1bbbdc6fa5",167 "language": "Jupyter",168 "lines": 345,169 "truncated": false,170 "block": 9,171 "row": 2640172 },173 {174 "path": "analyze_results/figures_code/old_code/trained_results_funcs.py",175 "sha256": "ba5ed47dbc76cbe9e41ba1716d40ddb043275cbad5fc8cf0d4f0c1f2a78a0948",176 "language": "Python",177 "lines": 141,178 "truncated": false,179 "block": 9,180 "row": 9958181 },182 {183 "path": "analyze_results/figures_code/old_code/trained_results_rebuttal.ipynb",184 "sha256": "365fa661f8506cc81c3eae209e9ad214ba423c3377c8678707fdccd31ba4ce8e",185 "language": "Jupyter",186 "lines": 206,187 "truncated": false,188 "block": 9,189 "row": 2507190 },191 {192 "path": "analyze_results/figures_code/old_code/untrained_figure.ipynb",193 "sha256": "7be3e01107a6a4e621b59e01dcdd79bfd40e990f36edc5f8777f025ff2f66f74",194 "language": "Jupyter",195 "lines": 114,196 "truncated": false,197 "block": 9,198 "row": 2343199 },200 {201 "path": "analyze_results/figures_code/old_code/untrained_pereira.ipynb",202 "sha256": "3af368484a8bfce3fc553824974a6af2bda4054a988c76fcdcb953e2ff2c8ba4",203 "language": "Jupyter",204 "lines": 345,205 "truncated": false,206 "block": 9,207 "row": 2632208 },209 {210 "path": "analyze_results/figures_code/old_code/untrained_results_rebuttal.ipynb",211 "sha256": "b361d974ae4f687ce91ef4656bc5191ef55896f0624085b6ce072e3c3f12c5ed",212 "language": "Jupyter",213 "lines": 202,214 "truncated": false,215 "block": 9,216 "row": 2510217 },218 {219 "path": "analyze_results/figures_code/plotting_functions.py",220 "sha256": "9fb1eebe27b580443cced295bb0df5522f370dd424dc2fc92bb36870a062fa3a",221 "language": "Python",222 "lines": 850,223 "truncated": false,224 "block": 9,225 "row": 12361226 },227 {228 "path": "analyze_results/figures_code/print_omega.ipynb",229 "sha256": "15e0eb91ec60cc68cb74c68fc2ed28a93dd594042560402013ad35559f12085c",230 "language": "Jupyter",231 "lines": 127,232 "truncated": false,233 "block": 9,234 "row": 2411235 },236 {237 "path": "analyze_results/figures_code/print_results.ipynb",238 "sha256": "6d35d1342ef152891b47a574423ab3d64e7e5d4b6042b221e6412c97ceee8018",239 "language": "Jupyter",240 "lines": 259,241 "truncated": false,242 "block": 9,243 "row": 2506244 },245 {246 "path": "analyze_results/figures_code/stats_funcs.py",247 "sha256": "ee6f43c36d6a839cf89dfbb48ad3e0fd6311225155ee23e244d3386824bdc844",248 "language": "Python",249 "lines": 78,250 "truncated": false,251 "block": 9,252 "row": 8580253 },254 {255 "path": "analyze_results/figures_code/stats_testing_new.ipynb",256 "sha256": "1f1cec002891e8bbe32e57545779436af12ef3b315dc47e524ce65753a336b5e",257 "language": "Jupyter",258 "lines": 192,259 "truncated": false,260 "block": 9,261 "row": 2454262 },263 {264 "path": "analyze_results/figures_code/syntax.py",265 "sha256": "09c2fa3a715f10c997f7ef85c0c6a87a05ea98799dc077895334b2f0e967f450",266 "language": "Python",267 "lines": 16,268 "truncated": false,269 "block": 9,270 "row": 6895271 },272 {273 "path": "analyze_results/figures_code/trained_figure/by_experiment.ipynb",274 "sha256": "b144e51741d0c18833ba39961d055d77eeb1cf32d3b897346521b5a6a7edd3e2",275 "language": "Jupyter",276 "lines": 321,277 "truncated": false,278 "block": 9,279 "row": 2610280 },281 {282 "path": "analyze_results/figures_code/trained_figure/glove_synt_power.py",283 "sha256": "21717b4ec1eb1a622942de106ae4eceb7b6f92672658f7b0063d17f187d4f403",284 "language": "Python",285 "lines": 311,286 "truncated": false,287 "block": 9,288 "row": 11461289 },290 {291 "path": "analyze_results/figures_code/trained_figure/glove_synt_pwr.ipynb",292 "sha256": "2c9f2f39aa8d013a1529fdd1eed91b6984ba94cde912303a83fbd9fa4e7955d1",293 "language": "Jupyter",294 "lines": 108,295 "truncated": false,296 "block": 9,297 "row": 2357298 },299 {300 "path": "analyze_results/figures_code/trained_figure/pearsonr_results.py",301 "sha256": "4c7c4850e43eb4366ad50d7da3e329024f63e3d80fe8339fc9596ee07c65921e",302 "language": "Python",303 "lines": 314,304 "truncated": false,305 "block": 9,306 "row": 11576307 },308 {309 "path": "analyze_results/figures_code/trained_figure/trained_LLMs_varpar.py",310 "sha256": "587343dcb416b1aed63ce871b4bbe2d89c92465c0fac0e97a754ee563f45d642",311 "language": "Python",312 "lines": 370,313 "truncated": false,314 "block": 9,315 "row": 11794316 },317 {318 "path": "analyze_results/figures_code/trained_untrained_results_funcs.py",319 "sha256": "1dd6f9dfccc42f698a63237dcdacc63ccb96629c4e78c87daf851fbaa72f1180",320 "language": "Python",321 "lines": 450,322 "truncated": false,323 "block": 9,324 "row": 11563325 },326 {327 "path": "analyze_results/figures_code/untrained_figure/figure5.py",328 "sha256": "1c00c298444c1bbbff4893341d19136712f3a20eba8cad87083f6d732f31a2bd",329 "language": "Python",330 "lines": 539,331 "truncated": false,332 "block": 9,333 "row": 12281334 },335 {336 "path": "analyze_results/figures_code/untrained_figure/pearsonr_results.py",337 "sha256": "d3a6ae7e7942f4c0452239c34a1a854d97d90ee067209fe1e5c12e1f0741f80e",338 "language": "Python",339 "lines": 309,340 "truncated": false,341 "block": 9,342 "row": 11514343 },344 {345 "path": "analyze_results/figures_code/untrained_figure/untrained_LLMs_varpar.py",346 "sha256": "44b9e7a757ae37a7fefc95d9f7e1c7c93f83cdec3ccda87378b747480b239c4e",347 "language": "Python",348 "lines": 412,349 "truncated": false,350 "block": 9,351 "row": 11903352 },353 {354 "path": "analyze_results/figures_code/untrained_results_funcs.py",355 "sha256": "5a6e75126024bdd55dd3742e75917d06e21a82721eda8416519b0699fe5a8842",356 "language": "Python",357 "lines": 212,358 "truncated": false,359 "block": 9,360 "row": 10281361 },362 {363 "path": "analyze_results/figures_code/validation_selection_analysis.ipynb",364 "sha256": "b20d2dafbce7760fb5ec70d82be731a75229bda1818ef0031b8a3ec67e19c910",365 "language": "Jupyter",366 "lines": 391,367 "truncated": false,368 "block": 9,369 "row": 2592370 },371 {372 "path": "bash_scripts/run_untrained.sh",373 "sha256": "a3acafe6afde8fe1abd3a5a132b592cbb2550e1622a4268175e69a8d5149f45f",374 "language": "Shell",375 "lines": 54,376 "truncated": false,377 "block": 9,378 "row": 14240379 },380 {381 "path": "bash_scripts/run_untrained_fed.sh",382 "sha256": "2ca80f93f35a103502e2d92901c451ed277928ce3e65fe3c098d9c613a26da53",383 "language": "Shell",384 "lines": 35,385 "truncated": false,386 "block": 9,387 "row": 14135388 },389 {390 "path": "bash_scripts/run_untrained_linear_reg.sh",391 "sha256": "814f955f0851f41138636edf19f1498973ca934c72096144c524afbc0942feca",392 "language": "Shell",393 "lines": 55,394 "truncated": false,395 "block": 9,396 "row": 14242397 },398 {399 "path": "bash_scripts/run_untrained_stacked.sh",400 "sha256": "45e6825866898c845df66849b764c0d2dda3f46ff856dcb41b746cef13d15d77",401 "language": "Shell",402 "lines": 59,403 "truncated": false,404 "block": 9,405 "row": 14298406 },407 {408 "path": "bash_scripts/run_untrained_stacked_linear_reg.sh",409 "sha256": "9a91ee14bac0f36b192c4541ab6e19c253dc26ce92c5acffeb4684b633dbe8a1",410 "language": "Shell",411 "lines": 51,412 "truncated": false,413 "block": 9,414 "row": 14255415 },416 {417 "path": "figure4_updated.py",418 "sha256": "fdd1fb0e5991d33e25bc849612b3138413125d188cbcd7faf9dc3847f6b768d7",419 "language": "Python",420 "lines": 12,421 "truncated": false,422 "block": 9,423 "row": 6659424 },425 {426 "path": "format_neural_data/create_y_matrix.ipynb",427 "sha256": "ba1d98a80b2001900595c7699fe72f6a153541107272081528fcb042abb21aa7",428 "language": "Jupyter",429 "lines": 128,430 "truncated": false,431 "block": 9,432 "row": 2408433 },434 {435 "path": "generate_activations/LLM.ipynb",436 "sha256": "25b8b2603d9c3ad427f436a98f82d725a05f8d0114dc3b381dcf877fcf06ee71",437 "language": "Jupyter",438 "lines": 298,439 "truncated": false,440 "block": 9,441 "row": 2509442 },443 {444 "path": "generate_activations/LLM.py",445 "sha256": "6396798c54ac9cae647f6061ecf4863d1c99703b8514cc4dd2fd411303fda0ac",446 "language": "Python",447 "lines": 255,448 "truncated": false,449 "block": 9,450 "row": 10772451 },452 {453 "path": "generate_activations/LLM_v2.py",454 "sha256": "6d89c464f1a551b34631c12839156f46cb0603f3d0c4280d7ae6b1057b1b25bc",455 "language": "Python",456 "lines": 399,457 "truncated": false,458 "block": 9,459 "row": 11499460 },461 {462 "path": "generate_activations/OASM.ipynb",463 "sha256": "7871596c58952c1696fbb5494af408cd15d51992af8cd8be41d4b1c211b16322",464 "language": "Jupyter",465 "lines": 77,466 "truncated": false,467 "block": 9,468 "row": 2263469 },470 {471 "path": "generate_activations/WSD/LMMS_generate.ipynb",472 "sha256": "c283573ef46d58ecb44e6f127c6ec6966d18754de6bee841cc74ef9d78f27afe",473 "language": "Jupyter",474 "lines": 304,475 "truncated": false,476 "block": 9,477 "row": 2490478 },479 {480 "path": "generate_activations/WSD/LMMS_generate.py",481 "sha256": "01555d869d5ab6742d1ff4a17c9ce84293cce7447f6a566ec4e2dee611843045",482 "language": "Python",483 "lines": 256,484 "truncated": false,485 "block": 9,486 "row": 10613487 },488 {489 "path": "generate_activations/X2static.ipynb",490 "sha256": "2c0d12f13a31f2d0254594aabeddc79e28a893d3a6fe60eaf08222e65d3453e5",491 "language": "Jupyter",492 "lines": 65,493 "truncated": false,494 "block": 9,495 "row": 2239496 },497 {498 "path": "generate_activations/check_activations.ipynb",499 "sha256": "be42932a4e6b73f43849984dad22137e0052c26cce2424a9eeb813cbd87bd49c",500 "language": "Jupyter",501 "lines": 17,502 "truncated": false,503 "block": 9,504 "row": 2183505 },506 {507 "path": "generate_activations/clean_untrained.py",508 "sha256": "5bb6102053d12d4363c073668208c77df27c5e92046d0c59c957688bf65bf81e",509 "language": "Python",510 "lines": 57,511 "truncated": false,512 "block": 9,513 "row": 8107514 },515 {516 "path": "generate_activations/interp_funcs.py",517 "sha256": "ced10e0d07531c5b3d485b814fbadd3a427853530f730b14d2bf63924fbfaf43",518 "language": "Python",519 "lines": 44,520 "truncated": false,521 "block": 9,522 "row": 7220523 },524 {525 "path": "generate_activations/simple_features.ipynb",526 "sha256": "3bd34c3b3c8698d5db125bb0111f72ae144f647bd2a7eac6894ece329ce5b086",527 "language": "Jupyter",528 "lines": 114,529 "truncated": false,530 "block": 9,531 "row": 2336532 },533 {534 "path": "misc_code/check_pearson_corr_error.ipynb",535 "sha256": "c49a1ed9f17efa3140ae23b1046a9b75453e3997e8ba5650b60e32775438e591",536 "language": "Jupyter",537 "lines": 47,538 "truncated": false,539 "block": 9,540 "row": 2196541 },542 {543 "path": "misc_code/clean_untrained.py",544 "sha256": "fb006fc23a80301dff401c7433fbe3ee9967321bdefb82f98ec8697733cdddfc",545 "language": "Python",546 "lines": 71,547 "truncated": false,548 "block": 9,549 "row": 8419550 },551 {552 "path": "misc_code/exp_decode.ipynb",553 "sha256": "5f355c85559d59320045c0479bc36f6819dc1fa22c108f4a216e89527087a5e9",554 "language": "Jupyter",555 "lines": 106,556 "truncated": false,557 "block": 9,558 "row": 2261559 },560 {561 "path": "misc_code/pearson_r_nans.ipynb",562 "sha256": "370f58feb695fe33612842b3b475cd83ceffc95fa32af499789d1312d018f39f",563 "language": "Jupyter",564 "lines": 68,565 "truncated": false,566 "block": 9,567 "row": 2271568 },569 {570 "path": "misc_code/regression_explore.ipynb",571 "sha256": "ee08145212669b5ca0592edaf00fb0532c22db6792f5680f654532c123a60ae6",572 "language": "Jupyter",573 "lines": 141,574 "truncated": false,575 "block": 9,576 "row": 2318577 },578 {579 "path": "misc_code/stack_features.ipynb",580 "sha256": "b9cad726b1455cc95e3f52cb6b517ded26bf1545ade419ffad323a27f376e81a",581 "language": "Jupyter",582 "lines": 414,583 "truncated": false,584 "block": 9,585 "row": 2622586 },587 {588 "path": "misc_code/statistical_testing.py",589 "sha256": "6ec3ecf9428466e5f2b8ed8f288269b1e270732424277c89b2f3cc59e5056191",590 "language": "Python",591 "lines": 84,592 "truncated": false,593 "block": 9,594 "row": 8585595 },596 {597 "path": "misc_code/stats_testing_funcs.py",598 "sha256": "d32f11e188d4bb2d8cbf29601fc32db586617baf32ebfffe9ab0a9bbea9611a2",599 "language": "Python",600 "lines": 192,601 "truncated": false,602 "block": 9,603 "row": 10314604 },605 {606 "path": "misc_code/word_count.ipynb",607 "sha256": "cce4e0c24589ef7c7e5b6fdc2f7781a75aed1315ae1985267011f0fcb0a11ad5",608 "language": "Jupyter",609 "lines": 138,610 "truncated": false,611 "block": 9,612 "row": 2718613 },614 {615 "path": "old_code/fedorenko_data/examine_neural.ipynb",616 "sha256": "2f879c22bcdc3530bceecb3de17650b543c70c28cee85904338d222a3d2fc968",617 "language": "Jupyter",618 "lines": 9,619 "truncated": false,620 "block": 9,621 "row": 2179622 },623 {624 "path": "old_code/fedorenko_data/stats_analyses.ipynb",625 "sha256": "b242e2db760bab50ad13168570e373d0aae192cc2390a2a7a744a8fbb2a3e4bb",626 "language": "Jupyter",627 "lines": 53,628 "truncated": false,629 "block": 9,630 "row": 2210631 },632 {633 "path": "old_code/figure5_old.py",634 "sha256": "a8012498d5dbb0eefba41043695bce72fa1273dfa024d940707ab683c79f5492",635 "language": "Python",636 "lines": 174,637 "truncated": false,638 "block": 9,639 "row": 10417640 },641 {642 "path": "old_code/pereira_data/pereira_data_notebook.ipynb",643 "sha256": "e0a3e7bc34ee0e66d7aa3b7038b1ac82ba58d86ce5a01bcf32b158cb47a39885",644 "language": "Jupyter",645 "lines": 115,646 "truncated": false,647 "block": 9,648 "row": 2356649 },650 {651 "path": "old_code/pereira_data/realign_dereferenced_data.ipynb",652 "sha256": "da997e36834fe0252ded666a403d61a655b4ece3218ab055fad49a9ad64901b2",653 "language": "Jupyter",654 "lines": 108,655 "truncated": false,656 "block": 9,657 "row": 2290658 },659 {660 "path": "old_code/trained_figure.py",661 "sha256": "6e61f2ee14e27cfff602c36aa85089e5a0b622a3738667255994e483e74a6b7a",662 "language": "Python",663 "lines": 35,664 "truncated": false,665 "block": 9,666 "row": 7176667 },668 {669 "path": "run_reg_scripts/banded_reg_func.py",670 "sha256": "8567dc0393e0cbeb55a7afa2c723713c7d2d642efefbb0ffdb76502868b0c63b",671 "language": "Python",672 "lines": 315,673 "truncated": false,674 "block": 9,675 "row": 11230676 },677 {678 "path": "run_reg_scripts/call_banded_reg.py",679 "sha256": "dc796ed69348948543d81fccd7606dcfec4322696fec5a3a7853a510314128fd",680 "language": "Python",681 "lines": 84,682 "truncated": false,683 "block": 9,684 "row": 9142685 },686 {687 "path": "run_reg_scripts/figure1_loop.py",688 "sha256": "667dd805bd6e9aebeb9a6f0e74caab440899ab4ebf20f9e8f276b1592aa5f4bf",689 "language": "Python",690 "lines": 37,691 "truncated": false,692 "block": 9,693 "row": 7527694 },695 {696 "path": "run_reg_scripts/figure2_loop.py",697 "sha256": "ab7f2e165a57f092342d357fff1229068d9ebfedfe2d3c30fd76770e535351c3",698 "language": "Python",699 "lines": 50,700 "truncated": false,701 "block": 9,702 "row": 7597703 },704 {705 "path": "run_reg_scripts/figure4_loop.py",706 "sha256": "d9b5da25d25d69cc5acbe9565b55fb412ff5274cf474a5e2f62444c1d186c59f",707 "language": "Python",708 "lines": 44,709 "truncated": false,710 "block": 9,711 "row": 7416712 },713 {714 "path": "run_reg_scripts/helper_funcs.py",715 "sha256": "5a48eab6cffa01d6af801822e086949dbe09f709106f37db8681802e23d10c09",716 "language": "Python",717 "lines": 863,718 "truncated": false,719 "block": 9,720 "row": 12223721 },722 {723 "path": "run_reg_scripts/neural_dat_funcs.py",724 "sha256": "9dfee6cb5eb6023fd985e26af1452098e0154327f80b35b0dc9f63e710645674",725 "language": "Python",726 "lines": 167,727 "truncated": false,728 "block": 9,729 "row": 10208730 },731 {732 "path": "run_reg_scripts/rerun_best_layer_untrained.py",733 "sha256": "f0c282aa8d3f0719c84784f3791d44df49a0b28069dce7a3c672c005420827ff",734 "language": "Python",735 "lines": 46,736 "truncated": false,737 "block": 9,738 "row": 7510739 },740 {741 "path": "run_reg_scripts/run_LLM.py",742 "sha256": "fd811fe6045864b3d86b423b8865bf6e4f0f08e94585bed090f40d3b0c31c30e",743 "language": "Python",744 "lines": 36,745 "truncated": false,746 "block": 9,747 "row": 7130748 },749 {750 "path": "run_reg_scripts/run_decontext_banded.py",751 "sha256": "cb9aa2cd176054edcf2ffad7987b36bd51813279f872fa2c2c0b3dd1034add34",752 "language": "Python",753 "lines": 38,754 "truncated": false,755 "block": 9,756 "row": 7191757 },758 {759 "path": "run_reg_scripts/run_syntax.py",760 "sha256": "ce23f6437f5173808007d04618c7c68220fa840fcc1deb38d1b43a5649bf5612",761 "language": "Python",762 "lines": 38,763 "truncated": false,764 "block": 9,765 "row": 7145766 },767 {768 "path": "run_reg_scripts/run_trained_banded.py",769 "sha256": "d917e6bb9c677b591907ad948d372cdcc9425e1b26294771c5f065962e293c67",770 "language": "Python",771 "lines": 43,772 "truncated": false,773 "block": 9,774 "row": 7442775 },776 {777 "path": "run_reg_scripts/run_untrained.py",778 "sha256": "da4afc06e0fd2db097a9b4c9fc542e9e01f4851751e285a4b6af7166c06e46d2",779 "language": "Python",780 "lines": 48,781 "truncated": false,782 "block": 9,783 "row": 7684784 },785 {786 "path": "run_reg_scripts/run_untrained_banded.py",787 "sha256": "f00ab880e46c086c06b2ed75fbe53769b7d39629fabefae4b854cbb5f111ef33",788 "language": "Python",789 "lines": 42,790 "truncated": false,791 "block": 9,792 "row": 7331793 },794 {795 "path": "source_data/best_layer_sigma_info/check_best.ipynb",796 "sha256": "b084936d22316a321e45bd0fbf11561d3ef69e31c2dc897dcf52a5bd74191b0f",797 "language": "Jupyter",798 "lines": 5,799 "truncated": false,800 "block": 9,801 "row": 2177802 },803 {804 "path": "stack_features/blank_time_lags.ipynb",805 "sha256": "dfc51b87634ed66c00aab1cc8f9ca0da80c82071394294f03c8db1cd5f4db34e",806 "language": "Jupyter",807 "lines": 74,808 "truncated": false,809 "block": 9,810 "row": 2264811 },812 {813 "path": "stack_features/find_best_layer.ipynb",814 "sha256": "880b70c1ad7a718f4326b436cade9931fb88f61c6d78011c97090cd1eb453ab1",815 "language": "Jupyter",816 "lines": 210,817 "truncated": false,818 "block": 9,819 "row": 2479820 },821 {822 "path": "stack_features/helper_funcs.py",823 "sha256": "c193e08201b5c28b37f639e20f350a5e723ed10f248827b63dfcd155b7e1cb61",824 "language": "Python",825 "lines": 130,826 "truncated": false,827 "block": 9,828 "row": 9622829 },830 {831 "path": "stack_features/stack_features_figure_2.ipynb",832 "sha256": "62954f303b92f1ce59d0b00c75af1cbd9c813b104182cda4eb6eb0a5e4edadd4",833 "language": "Jupyter",834 "lines": 44,835 "truncated": false,836 "block": 9,837 "row": 2217838 },839 {840 "path": "stack_features/stack_trained_acts.ipynb",841 "sha256": "13a6ee9b4351893ee0cda155052ed1c08509f21281f0c2d81b4ab65f41056aed",842 "language": "Jupyter",843 "lines": 67,844 "truncated": false,845 "block": 9,846 "row": 2320847 },848 {849 "path": "stack_features/stack_untrained_acts.ipynb",850 "sha256": "2c976461cecf4cd7cf91db198b3a1e74392c6068d9cb7c965ac096efd751a3ec",851 "language": "Jupyter",852 "lines": 120,853 "truncated": false,854 "block": 9,855 "row": 2363856 },857 {858 "path": "swap_base_path.sh",859 "sha256": "4b83e3b61f930b8aeba7ab6350f6bf15e03e1122f223d09421221ff5944eda64",860 "language": "Shell",861 "lines": 19,862 "truncated": false,863 "block": 9,864 "row": 14007865 }866 ]867}