ds006239 (roi-phonology): alignment results (control gate: fail)
Browse files- roi-phonology/README.md +3 -3
- roi-phonology/alignment_by_cell.csv +8 -8
- roi-phonology/alignment_by_checkpoint.csv +2 -2
- roi-phonology/alignment_by_family.csv +1 -1
- roi-phonology/control/fig_positive_control.pdf +0 -0
- roi-phonology/fig_corrected_family.pdf +0 -0
- roi-phonology/fig_corrected_family.png +2 -2
- roi-phonology/fig_corrected_null_checks.pdf +0 -0
- roi-phonology/fig_corrected_null_checks.png +2 -2
- roi-phonology/fig_corrected_scale_ladder.pdf +0 -0
- roi-phonology/fig_corrected_trajectory.pdf +0 -0
- roi-phonology/fig_corrected_trajectory.png +2 -2
- roi-phonology/seed_null_comparison.csv +1 -1
- roi-phonology/summary.json +8 -8
- roi-phonology/training_trend.csv +1 -1
roi-phonology/README.md
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@@ -4,7 +4,7 @@ Wang et al. 2025 — word-level phonological and semantic reading tasks in child
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- Paper: https://www.sciencedirect.com/science/article/pii/S2352340925009692
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- Data: https://openneuro.org/datasets/ds006239/versions/1.0.5
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- Generated: 2026-09-
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- Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
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- Masking: **roi-phonology** -- see DATASETS.md section 10 for the three-level standard (phonology/language/all) this is part of, and how it differs from the whole-brain reference.
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@@ -62,7 +62,7 @@ rather than language) and an inter-subject noise ceiling.
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| SemLocal | ses-11+ | 48 | 0.310001 | 0.359958 | 49 |
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| SemLocal | ses-11 | 48 | 0.26477 | 0.331669 | 34 |
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Model grid: **15 families**,
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|---|---|
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@@ -78,8 +78,8 @@ Model grid: **15 families**, 2096 alignment rows across 8 cells.
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|:----------------------|----------------:|-----------:|---------:|--------------:|--------------------------:|---------------------:|
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| 79 |
| pico-decoder-tiny | 21 | 0.0053 | 0.0058 | 0.0538 | 0.119 | 0 |
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| 80 |
| pico-decoder-small | 21 | 0.0035 | 0.0125 | 0.0522 | 0.1971 | 0 |
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| 81 |
| babylm-gpt2 | 9 | 0.002 | 0.0104 | 0.0389 | 0.0997 | 0 |
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| 82 |
-
| pico-decoder-large | 21 | 0.0015 | 0.009 | 0.0474 | 0.162 | 0 |
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| 83 |
| pico-decoder-medium | 21 | -0.0007 | 0.0086 | 0.0476 | 0.1798 | 0 |
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| 84 |
| beetle-humanscale-eng | 18 | -0.0014 | 0.0122 | 0.0423 | 0.1365 | 0 |
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| 85 |
| pythia-70m-full | 21 | -0.0016 | 0.0103 | 0.0382 | 0.1389 | 0 |
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| 4 |
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| 5 |
- Paper: https://www.sciencedirect.com/science/article/pii/S2352340925009692
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- Data: https://openneuro.org/datasets/ds006239/versions/1.0.5
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+
- Generated: 2026-09-11
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- Pipeline: https://github.com/suchirsalhan/cdl-representations-brains-babylms
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- Masking: **roi-phonology** -- see DATASETS.md section 10 for the three-level standard (phonology/language/all) this is part of, and how it differs from the whole-brain reference.
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| 62 |
| SemLocal | ses-11+ | 48 | 0.310001 | 0.359958 | 49 |
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| SemLocal | ses-11 | 48 | 0.26477 | 0.331669 | 34 |
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| 64 |
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| 65 |
+
Model grid: **15 families**, 2088 alignment rows across 8 cells.
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| | |
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|---|---|
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| 78 |
|:----------------------|----------------:|-----------:|---------:|--------------:|--------------------------:|---------------------:|
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| pico-decoder-tiny | 21 | 0.0053 | 0.0058 | 0.0538 | 0.119 | 0 |
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| 80 |
| pico-decoder-small | 21 | 0.0035 | 0.0125 | 0.0522 | 0.1971 | 0 |
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| 81 |
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| pico-decoder-large | 20 | 0.0021 | 0.0088 | 0.0474 | 0.162 | 0 |
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| babylm-gpt2 | 9 | 0.002 | 0.0104 | 0.0389 | 0.0997 | 0 |
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| pico-decoder-medium | 21 | -0.0007 | 0.0086 | 0.0476 | 0.1798 | 0 |
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| beetle-humanscale-eng | 18 | -0.0014 | 0.0122 | 0.0423 | 0.1365 | 0 |
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| pythia-70m-full | 21 | -0.0016 | 0.0103 | 0.0382 | 0.1389 | 0 |
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roi-phonology/alignment_by_cell.csv
CHANGED
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@@ -47,14 +47,14 @@ beetle-humanscale-eng,Sem,ses-11,18,-0.013188074771802928,0.02143256618349877,-0
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beetle-humanscale-eng,Sem,ses-11+,18,-0.004858015157744306,0.020698827637789012,-0.0214792062295682,0.0362764238987694,0.3901386367174326,,0.09298341790496255,
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| 48 |
beetle-humanscale-eng,SemLocal,ses-11,18,-0.010799362716976617,0.020424953308517933,-0.0280399981933714,0.0339337140240508,0.2647704592119395,,0.12816276455104098,
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| 49 |
beetle-humanscale-eng,SemLocal,ses-11+,18,-0.018390538005947678,0.026343225432008188,-0.0423209417357121,0.0267881170063189,0.3100011639992813,,0.08641295619903222,
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-
pico-decoder-large,Orth,ses-11,
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-
pico-decoder-large,Orth,ses-11+,
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-
pico-decoder-large,Phon,ses-11,
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-
pico-decoder-large,Phon,ses-11+,
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pico-decoder-large,Sem,ses-11,
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-
pico-decoder-large,Sem,ses-11+,
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-
pico-decoder-large,SemLocal,ses-11,
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-
pico-decoder-large,SemLocal,ses-11+,
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pico-decoder-medium,Orth,ses-11,21,-0.00819581117379288,0.01833653377870844,-0.0376405653034201,0.0289485256597728,0.5256372477199311,,0.055073200739375855,
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| 59 |
pico-decoder-medium,Orth,ses-11+,21,-0.0035681912421515524,0.017832293176091175,-0.0310112614084039,0.0388038529498783,0.5653630359262645,,0.0686352847357696,
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| 60 |
pico-decoder-medium,Phon,ses-11,21,-0.00819581117379288,0.01833653377870844,-0.0376405653034201,0.0289485256597728,0.5256372477199311,,0.055073200739375855,
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| 47 |
beetle-humanscale-eng,Sem,ses-11+,18,-0.004858015157744306,0.020698827637789012,-0.0214792062295682,0.0362764238987694,0.3901386367174326,,0.09298341790496255,
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| 48 |
beetle-humanscale-eng,SemLocal,ses-11,18,-0.010799362716976617,0.020424953308517933,-0.0280399981933714,0.0339337140240508,0.2647704592119395,,0.12816276455104098,
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beetle-humanscale-eng,SemLocal,ses-11+,18,-0.018390538005947678,0.026343225432008188,-0.0423209417357121,0.0267881170063189,0.3100011639992813,,0.08641295619903222,
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| 50 |
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pico-decoder-large,Orth,ses-11,20,-0.005236930909160525,0.017401148952827787,-0.03486546192463,0.0226487988974522,0.5256372477199311,,0.04308826856486373,
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pico-decoder-large,Orth,ses-11+,20,-0.004213995690642445,0.018278313252177082,-0.0289697587881934,0.0422497406913287,0.5653630359262645,,0.07473028480206297,
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| 52 |
+
pico-decoder-large,Phon,ses-11,20,-0.005236930909160525,0.017401148952827787,-0.03486546192463,0.0226487988974522,0.5256372477199311,,0.04308826856486373,
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| 53 |
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pico-decoder-large,Phon,ses-11+,20,-0.004213995690642445,0.018278313252177082,-0.0289697587881934,0.0422497406913287,0.5653630359262645,,0.07473028480206297,
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| 54 |
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pico-decoder-large,Sem,ses-11,20,0.0016869771244241247,0.0170462960857576,-0.0210139880252401,0.0474267552049968,0.3510289007265154,,0.13510783615491168,
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pico-decoder-large,Sem,ses-11+,20,0.00300961299303023,0.013095894861394099,-0.0136153364328022,0.0312489408677112,0.3901386367174326,,0.08009701661602926,
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pico-decoder-large,SemLocal,ses-11,20,0.015335017385120575,0.01771994075179569,-0.0220010781913468,0.0428896601637125,0.2647704592119395,,0.16198808693148364,
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pico-decoder-large,SemLocal,ses-11+,20,0.015283723114883716,0.011488406253717382,-0.0030563274964662,0.0357534273811339,0.3100011639992813,,0.11533320365602495,
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| 58 |
pico-decoder-medium,Orth,ses-11,21,-0.00819581117379288,0.01833653377870844,-0.0376405653034201,0.0289485256597728,0.5256372477199311,,0.055073200739375855,
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pico-decoder-medium,Orth,ses-11+,21,-0.0035681912421515524,0.017832293176091175,-0.0310112614084039,0.0388038529498783,0.5653630359262645,,0.0686352847357696,
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| 60 |
pico-decoder-medium,Phon,ses-11,21,-0.00819581117379288,0.01833653377870844,-0.0376405653034201,0.0289485256597728,0.5256372477199311,,0.055073200739375855,
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roi-phonology/alignment_by_checkpoint.csv
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size 551139
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roi-phonology/alignment_by_family.csv
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@@ -1,8 +1,8 @@
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family,params,n_checkpoints,n_rows,n_cells,rsa_mean,rsa_sd,rsa_sd_all_rows,rsa_abs_max,best_rsa,best_cell,best_step,frac_of_ceiling_mean,frac_of_ceiling_abs_max,seed_null_sd,null_max_p50,null_max_p95,best_percentile_vs_null,beats_null_max,p_equivalence_tost,equivalent_to_zero,mean_in_seed_sd
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pico-decoder-small,64595328.0,21,168,8,0.0035338403553263112,0.012539751513951583,0.018864863004069057,0.05218683234362,0.05218683234362,SemLocal/ses-11,5000,0.01685415190524445,0.1971021710614864,,,,,False,7.842838865682486e-06,True,
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babylm-gpt2,134601216.0,9,72,8,0.0019970468267228292,0.010354606992853975,0.014464454852087276,0.038879960106291,0.038879960106291,Sem/ses-11+,598,0.007371562632699089,0.09965677953206864,,,,,False,1.7500429581915914e-06,True,
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pico-decoder-large,569808384.0,21,168,8,0.0014692847976827325,0.0090096032396843,0.01816296412601773,0.0474267552049968,0.0474267552049968,Sem/ses-11,5000,0.009334889442851222,0.16198808693148364,,,,,False,6.318255982825595e-07,True,
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pico-decoder-medium,181095168.0,21,168,8,-0.0007405860083300553,0.008610867813134157,0.01835642842794999,0.0476085825288689,0.0476085825288689,SemLocal/ses-11,3000,0.002962656088356319,0.17981077900673162,,,,,False,4.1896017205180245e-07,True,
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pythia-70m-full,95592496.0,21,168,8,-0.001618431060929435,0.010302304259638118,0.017642731632360194,0.0381892478191561,-0.0381892478191561,Orth/ses-11+,43000,0.0023710636411192754,0.13891946634483374,,,,,False,1.6036890683094196e-06,True,
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family,params,n_checkpoints,n_rows,n_cells,rsa_mean,rsa_sd,rsa_sd_all_rows,rsa_abs_max,best_rsa,best_cell,best_step,frac_of_ceiling_mean,frac_of_ceiling_abs_max,seed_null_sd,null_max_p50,null_max_p95,best_percentile_vs_null,beats_null_max,p_equivalence_tost,equivalent_to_zero,mean_in_seed_sd
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pico-decoder-small,64595328.0,21,168,8,0.0035338403553263112,0.012539751513951583,0.018864863004069057,0.05218683234362,0.05218683234362,SemLocal/ses-11,5000,0.01685415190524445,0.1971021710614864,,,,,False,7.842838865682486e-06,True,
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pico-decoder-large,569808384.0,20,160,8,0.0020516846772315883,0.008761520926173072,0.018119481296170296,0.0474267552049968,0.0474267552049968,Sem/ses-11,5000,0.010613384984930455,0.16198808693148364,,,,,False,5.670910378966491e-07,True,
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babylm-gpt2,134601216.0,9,72,8,0.0019970468267228292,0.010354606992853975,0.014464454852087276,0.038879960106291,0.038879960106291,Sem/ses-11+,598,0.007371562632699089,0.09965677953206864,,,,,False,1.7500429581915914e-06,True,
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roi-phonology/control/fig_positive_control.pdf
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roi-phonology/fig_corrected_family.pdf
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roi-phonology/fig_corrected_family.png
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roi-phonology/fig_corrected_null_checks.pdf
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roi-phonology/fig_corrected_null_checks.png
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roi-phonology/fig_corrected_scale_ladder.pdf
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roi-phonology/fig_corrected_trajectory.pdf
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roi-phonology/fig_corrected_trajectory.png
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Git LFS Details
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roi-phonology/seed_null_comparison.csv
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family,rsa_mean,rsa_sd,mean_in_seed_sd,rsa_abs_max,null_max_p50,null_max_p95,best_percentile_vs_null,beats_null_max,frac_of_ceiling_abs_max,p_equivalence_tost,equivalent_to_zero
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pico-decoder-tiny,0.005251294788689426,0.005765810379518547,,0.0538436152749142,,,,False,0.11902850253083871,5.140438390786636e-08,True
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pico-decoder-small,0.0035338403553263112,0.012539751513951583,,0.05218683234362,,,,False,0.1971021710614864,7.842838865682486e-06,True
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pico-decoder-large,0.0014692847976827325,0.0090096032396843,,0.0474267552049968,,,,False,0.16198808693148364,6.318255982825595e-07,True
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pico-decoder-medium,-0.0007405860083300553,0.008610867813134157,,0.0476085825288689,,,,False,0.17981077900673162,4.1896017205180245e-07,True
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| 1 |
family,rsa_mean,rsa_sd,mean_in_seed_sd,rsa_abs_max,null_max_p50,null_max_p95,best_percentile_vs_null,beats_null_max,frac_of_ceiling_abs_max,p_equivalence_tost,equivalent_to_zero
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| 3 |
pico-decoder-small,0.0035338403553263112,0.012539751513951583,,0.05218683234362,,,,False,0.1971021710614864,7.842838865682486e-06,True
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pico-decoder-large,0.0020516846772315883,0.008761520926173072,,0.0474267552049968,,,,False,0.16198808693148364,5.670910378966491e-07,True
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babylm-gpt2,0.0019970468267228292,0.010354606992853975,,0.038879960106291,,,,False,0.09965677953206864,1.7500429581915914e-06,True
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pico-decoder-medium,-0.0007405860083300553,0.008610867813134157,,0.0476085825288689,,,,False,0.17981077900673162,4.1896017205180245e-07,True
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pythia-70m-full,-0.001618431060929435,0.010302304259638118,,0.0381892478191561,,,,False,0.13891946634483374,1.6036890683094196e-06,True
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roi-phonology/summary.json
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@@ -2,7 +2,7 @@
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"dataset": "ds003604",
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"rdms": "within-run normalised",
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"n_families": 15,
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| 5 |
-
"n_rows":
|
| 6 |
"n_cells": 8,
|
| 7 |
"ceiling_lower_mean": 0.43724246599344496,
|
| 8 |
"best_rsa_abs": 0.0690762309770627,
|
|
@@ -14,13 +14,13 @@
|
|
| 14 |
"sesoi": 0.05,
|
| 15 |
"scale_trend_rho": -0.34779317689787076,
|
| 16 |
"scale_trend_p": 0.027874566812770417,
|
| 17 |
-
"var_pct_cell": 7.
|
| 18 |
-
"var_pct_family": 16.
|
| 19 |
-
"var_pct_residual": 75.
|
| 20 |
"untrained_mean": -0.00047131131310623113,
|
| 21 |
"untrained_n": 88,
|
| 22 |
-
"trained_mean": -0.
|
| 23 |
-
"trained_n":
|
| 24 |
-
"untrained_vs_trained_t": 2.
|
| 25 |
-
"untrained_vs_trained_p": 0.
|
| 26 |
}
|
|
|
|
| 2 |
"dataset": "ds003604",
|
| 3 |
"rdms": "within-run normalised",
|
| 4 |
"n_families": 15,
|
| 5 |
+
"n_rows": 2088,
|
| 6 |
"n_cells": 8,
|
| 7 |
"ceiling_lower_mean": 0.43724246599344496,
|
| 8 |
"best_rsa_abs": 0.0690762309770627,
|
|
|
|
| 14 |
"sesoi": 0.05,
|
| 15 |
"scale_trend_rho": -0.34779317689787076,
|
| 16 |
"scale_trend_p": 0.027874566812770417,
|
| 17 |
+
"var_pct_cell": 7.373667910393499,
|
| 18 |
+
"var_pct_family": 16.653873139623077,
|
| 19 |
+
"var_pct_residual": 75.92456622967693,
|
| 20 |
"untrained_mean": -0.00047131131310623113,
|
| 21 |
"untrained_n": 88,
|
| 22 |
+
"trained_mean": -0.0059303944314013386,
|
| 23 |
+
"trained_n": 2000,
|
| 24 |
+
"untrained_vs_trained_t": 2.347914369891367,
|
| 25 |
+
"untrained_vs_trained_p": 0.020942041161043434
|
| 26 |
}
|
roi-phonology/training_trend.csv
CHANGED
|
@@ -12,5 +12,5 @@ pythia-160m-full,8,-0.04774277614581618,0.6743690818335736,-0.20024192493278836,
|
|
| 12 |
pythia-1.4b-full,8,-0.11286132456238866,0.3863319424291648,-0.8262843339327903,0.4358974364859556
|
| 13 |
pico-decoder-small,8,-0.12987012987012986,0.2590966050866248,-1.4177267891880536,0.1992123167581929
|
| 14 |
pico-decoder-medium,8,-0.2383116883116883,0.31561228184229845,-2.135681284106805,0.07007980431773414
|
| 15 |
-
pico-decoder-large,8,-0.
|
| 16 |
pythia-410m-full,8,-0.3980188582768554,0.556354355258752,-2.02347177526307,0.08270560591041042
|
|
|
|
| 12 |
pythia-1.4b-full,8,-0.11286132456238866,0.3863319424291648,-0.8262843339327903,0.4358974364859556
|
| 13 |
pico-decoder-small,8,-0.12987012987012986,0.2590966050866248,-1.4177267891880536,0.1992123167581929
|
| 14 |
pico-decoder-medium,8,-0.2383116883116883,0.31561228184229845,-2.135681284106805,0.07007980431773414
|
| 15 |
+
pico-decoder-large,8,-0.3954887218045112,0.3028306248436967,-3.6938504117951765,0.0077173059249367746
|
| 16 |
pythia-410m-full,8,-0.3980188582768554,0.556354355258752,-2.02347177526307,0.08270560591041042
|