Add superseded early pass, run ledger; reference both from the README

README.md

@@ -141,7 +141,10 @@ by-model/<family>/
 diagnostics/
   layerwise_alignment.csv  <- alignment at every layer (rules out the layer explanation)
   run_confound_check.csv   <- raw vs run-partialled alignment, per layer
-figures/                   <- cross-model figures (fig1–fig8, tables)
+figures/                   <- cross-model figures (fig1-fig8, tables)
+superseded/early_tier1/    <- an earlier PARTIAL pass (7 families, 8/12 cells). Kept for
+                              completeness, deliberately NOT a viewer config. Do not use.
+provenance_tier_ledger.json <- the run record: per-tier status, exit code, duration, peak GPU
 ```
 
 Every table carries `family` and `model_ref`, so you can filter by model in the viewer

provenance_tier_ledger.json

@@ -0,0 +1,63 @@
+{
+  "driver": {
+    "disk_floor_gb": 350,
+    "ended": "2026-08-19T01:04:38Z",
+    "gpus": "0,1,2",
+    "pid": 3010883,
+    "started": "2026-08-18T21:54:31Z",
+    "status": "finished_ok",
+    "summary": "ALL 4 STAGES OK"
+  },
+  "tier0": {
+    "attempt": 1,
+    "duration_s": 7423,
+    "ended": "2026-08-18T23:58:18Z",
+    "exit_code": 0,
+    "failure": "none",
+    "log": "logs/tier0.log",
+    "outputs_check": "ok",
+    "peak_gpu_mem_mib_gpu012": 2183,
+    "started": "2026-08-18T21:54:35Z",
+    "status": "ok"
+  },
+  "tier1": {
+    "attempt": 1,
+    "duration_s": 1325,
+    "ended": "2026-08-19T00:20:28Z",
+    "exit_code": 0,
+    "failure": "none",
+    "log": "logs/tier1.log",
+    "outputs_check": "ok",
+    "peak_gpu_mem_mib_gpu012": 5049,
+    "started": "2026-08-18T23:58:23Z",
+    "status": "ok"
+  },
+  "tier2": {
+    "attempt": 1,
+    "duration_s": 1410,
+    "ended": "2026-08-19T00:44:03Z",
+    "exit_code": 0,
+    "failure": "none",
+    "log": "logs/tier2.log",
+    "outputs_check": "ok",
+    "peak_gpu_mem_mib_gpu012": 5049,
+    "started": "2026-08-19T00:20:33Z",
+    "status": "ok"
+  },
+  "tier3": {
+    "attempt": 1,
+    "duration_s": 1225,
+    "ended": "2026-08-19T01:04:33Z",
+    "exit_code": 0,
+    "failure": "none",
+    "log": "logs/tier3.log",
+    "outputs_check": "ok",
+    "peak_gpu_mem_mib_gpu012": 2185,
+    "started": "2026-08-19T00:44:08Z",
+    "status": "ok"
+  },
+  "tier3b": {
+    "reason": "Runbook DATASET=ds00XXXX is a placeholder, not a real accession. scripts/batch_download_bold.py hardcodes every download URL to OpenNeuroDatasets/ds003604 and contrasts are built from ds003604 stimuli, so any other DATASET tag would re-download ds003604 and mislabel it as a second study. Not guessed, not fabricated -- needs a real accession plus a dataset-aware download path.",
+    "status": "skipped"
+  }
+}

superseded/README.md

@@ -0,0 +1,18 @@
+# Superseded results — kept for completeness, do not use
+
+## `early_tier1/`
+
+An **early, partial** Tier-1 pass run on 2026-08-18 while brain preprocessing was still
+finishing, over **7 of the 10** families and only **8 of the 12** task × session cells
+(606 alignment rows). It was superseded a few hours later by the official Tier 1, which
+covers **10 families and all 12 cells** (3,144 rows) and is what lives in `by-model/` and
+`overall/`.
+
+These files are here only so the repository contains everything that was produced. They
+are deliberately **not** declared as dataset viewer configs, because their numbers differ
+from the official ones purely through incomplete coverage and would otherwise be easy to
+mistake for the real thing.
+
+Everything in the root README's warning applies to these files too, and more so: the brain
+alignment numbers here are confounded by scanner run **and** computed over partial
+coverage. Use `by-model/` and `overall/` instead.

superseded/early_tier1/alignment_babylm-gpt2-3.csv

@@ -0,0 +1,46 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
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superseded/early_tier1/alignment_babylm-gpt2-5.csv

@@ -0,0 +1,46 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
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+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-02,382,,Sem,ses-5,72,-0.008907104254540983,0.004998445799118753,-0.005733640809851498
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-03,573,,Sem,ses-5,72,0.000759834075302178,0.0077362345533046935,0.00027623886392939064
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-04,764,,Sem,ses-5,72,0.016148801527824476,0.014778082971658802,0.011031791969472848
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-05,1146,,Sem,ses-5,72,0.007635544383136292,0.009162504256601619,0.005050087434806709
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-06,1337,,Sem,ses-5,72,0.005910484110664885,0.014745315754385209,0.004233620903503211
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-07,1528,,Sem,ses-5,72,-0.002310347514106592,0.012191236019479952,-0.001452857173482294
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-08,1719,,Sem,ses-5,72,0.0028552153050952597,0.014990165231004505,0.0021609106694964303
+ds003604,babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-09,1908,,Sem,ses-5,72,0.00026776754228213833,0.013950358386648631,0.00037056432966137766

superseded/early_tier1/alignment_babylm-gpt2-7.csv

@@ -0,0 +1,46 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Phon,ses-5,72,-0.01250339480160491,-0.008028719514352065,-0.008415179049946559
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Phon,ses-5,72,-0.047926681993878145,-0.025305481723028288,-0.03199532047689485
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Phon,ses-5,72,-0.01932003030661131,-0.02309822064601857,-0.012786613133902348
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Phon,ses-5,72,-0.01713366974121746,-0.029514197125098875,-0.011086304738629647
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Phon,ses-5,72,-0.008439057565382903,-0.021838596960867394,-0.00472913585010826
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Phon,ses-5,72,-0.018549216449877063,-0.023551840738720457,-0.011982396663083523
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Phon,ses-5,72,-0.00944814683598957,-0.017717162764071977,-0.005682190555815869
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Phon,ses-5,72,-0.00948616322432122,-0.014767413391728289,-0.005696890628397478
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Phon,ses-5,72,-0.010771463811791268,-0.01650279098961515,-0.006536019771597622
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Phon,ses-7,72,-0.05757234919796771,-0.0071319371037837755,-0.039233881217288505
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Phon,ses-7,72,-0.06065905471526764,-0.022215404388261632,-0.04021266105001393
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Phon,ses-7,72,-0.04893830942719298,-0.02365468902988113,-0.03213680867549283
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Phon,ses-7,72,-0.06042374144938023,-0.02799371847306052,-0.040237773674007514
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Phon,ses-7,72,-0.04010247853492793,-0.019428838989850872,-0.026900520321319087
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Phon,ses-7,72,-0.03583401969543118,-0.021744145028397978,-0.024022981113469247
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Phon,ses-7,72,-0.03273139173443793,-0.016640448357576214,-0.021985796054868022
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Phon,ses-7,72,-0.028380082578750028,-0.01357620476494503,-0.019082531720000368
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Phon,ses-7,72,-0.031112942919138846,-0.015594705832243833,-0.020871040550762717
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Phon,ses-9,72,-0.03392508275734484,-0.009176637152517004,-0.02200294613954656
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Phon,ses-9,72,-0.04917236151653655,-0.01814551481778812,-0.032749924202750746
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Phon,ses-9,72,-0.0325418947487379,-0.020128231122404975,-0.021538056344153195
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Phon,ses-9,72,-0.031437800438257765,-0.023331548940919114,-0.021002728700972962
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Phon,ses-9,72,-0.015815889725683718,-0.013938013106291584,-0.010376413733542809
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Phon,ses-9,72,-0.019742682545001517,-0.01710628375753922,-0.013173102542193801
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Phon,ses-9,72,-0.015464789673785404,-0.01274064948976059,-0.010067712209329033
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Phon,ses-9,72,-0.012302823895368969,-0.010032212113155439,-0.008013377066049262
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Phon,ses-9,72,-0.012306183439723633,-0.011757304728660387,-0.00798642693298298
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Plaus,ses-5,60,-0.02440294306717306,-0.03672893495830142,-0.01661700408478728
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Plaus,ses-5,60,-0.04845416229829609,-0.04711472000257232,-0.03248731288704078
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Plaus,ses-5,60,-0.05375172389339661,-0.05238984296857054,-0.036209930600134776
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Plaus,ses-5,60,-0.052432804682159315,-0.044776114527078435,-0.03483917946556036
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Plaus,ses-5,60,-0.05018509390455121,-0.04046545695485332,-0.03351825059962378
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Plaus,ses-5,60,-0.04468088556155665,-0.034588424494665274,-0.02996426210345786
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Plaus,ses-5,60,-0.040001647686024454,-0.028735632532648957,-0.026334901457301357
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Plaus,ses-5,60,-0.040087935882161585,-0.026939461966338188,-0.026506085662364703
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Plaus,ses-5,60,-0.040261042459720835,-0.026517155388068602,-0.02664022253946658
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Sem,ses-5,72,-0.007816969838955768,0.006653320282496605,-0.004718110795672054
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Sem,ses-5,72,-0.0029414675641687613,0.006944152967670241,-0.0020990478640488283
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Sem,ses-5,72,0.00141758327522669,0.005121917533744899,0.0006302656119364589
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Sem,ses-5,72,0.008073999774447019,0.009826407241896339,0.005579902550768844
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Sem,ses-5,72,0.0059579841154347194,0.0018809610803644274,0.0038250813863393448
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Sem,ses-5,72,0.011671498320240399,0.011631114899711466,0.007603000039812696
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Sem,ses-5,72,0.00027974261118612355,0.007907985558503871,0.00014332570767068163
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Sem,ses-5,72,0.005184941102211025,0.010380637073678587,0.00344839202643563
+ds003604,babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Sem,ses-5,72,0.002433791905388792,0.009350798013114212,0.001587607838813704

superseded/early_tier1/alignment_babylm-gpt2.csv

@@ -0,0 +1,46 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Phon,ses-5,72,-0.012738744717067096,0.007199361169265152,-0.008339228674941582
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Phon,ses-5,72,-0.04448408107933688,-0.027693858798372273,-0.029797047122920167
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Phon,ses-5,72,-0.018532537300257435,-0.019372009616670398,-0.012384198646980819
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Phon,ses-5,72,-0.039244179268721764,-0.016519509256602945,-0.026237792049098242
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Phon,ses-5,72,-0.054733673630384096,-0.027411602555252143,-0.03655969301348425
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Phon,ses-5,72,-0.04138015098051032,-0.022468793335743985,-0.027348260032033906
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Phon,ses-5,72,-0.039517850267019636,-0.027332090539145856,-0.026540368543069678
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Phon,ses-5,72,-0.03923910366192455,-0.025026058715401134,-0.026287404794061168
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Phon,ses-5,72,-0.03926593977409152,-0.023915405621220243,-0.026266579691237222
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Phon,ses-7,72,-0.019369254997253057,0.008723326421129052,-0.012841125903059145
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Phon,ses-7,72,-0.08705199806816498,-0.028459242083368527,-0.05833478802801589
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Phon,ses-7,72,-0.05222098093945083,-0.01662535879193247,-0.03450413286415601
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Phon,ses-7,72,-0.05485287960613607,-0.014616725106889276,-0.03662951835824689
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Phon,ses-7,72,-0.06350054942563271,-0.025643301515592933,-0.042142045576350026
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Phon,ses-7,72,-0.047386616015804524,-0.020709854306197692,-0.03129767953229269
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Phon,ses-7,72,-0.06285191519054127,-0.02602805490278213,-0.041872544245687204
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Phon,ses-7,72,-0.05764256906462355,-0.02364384684586229,-0.03838678953477333
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Phon,ses-7,72,-0.05473073807130629,-0.02251677190337437,-0.03643167988141941
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Phon,ses-9,72,-0.01310723247703075,0.011727266639472569,-0.008469079316079122
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Phon,ses-9,72,-0.03593025357398838,-0.024549144880638425,-0.02396356832011858
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Phon,ses-9,72,-0.018060686241513562,-0.013835263922826056,-0.0121183723344634
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Phon,ses-9,72,-0.0319662046653608,-0.013955253188620823,-0.021374518036682805
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Phon,ses-9,72,-0.040510511186077215,-0.025064115061076243,-0.027052421071329037
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Phon,ses-9,72,-0.033396146752097976,-0.02042208030015751,-0.021917808219178082
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Phon,ses-9,72,-0.026614932701805108,-0.024487478004660022,-0.017712974957813852
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Phon,ses-9,72,-0.029506374315020793,-0.02199659652435171,-0.019662572083949663
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Phon,ses-9,72,-0.028745920790042952,-0.021147072174061532,-0.019089269253266934
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Plaus,ses-5,60,-0.05679472991065875,-0.0490363402230868,-0.03811339676091379
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Plaus,ses-5,60,-0.05891072318728178,-0.04285879673598482,-0.03977669403697707
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Plaus,ses-5,60,-0.04249009937138366,-0.031969926451541134,-0.028129780622331235
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Plaus,ses-5,60,-0.04875691324417504,-0.036032484497067856,-0.03267510451498341
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Plaus,ses-5,60,-0.03912363272180447,-0.03074299843574651,-0.026168827228508558
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Plaus,ses-5,60,-0.043480321018101176,-0.03210677754399396,-0.028803019995975895
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Plaus,ses-5,60,-0.0430418188350281,-0.030449150474175776,-0.02831373976807095
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Plaus,ses-5,60,-0.045895652578585085,-0.03183042952194818,-0.030488034671188994
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Plaus,ses-5,60,-0.045960012744139446,-0.032167359682256036,-0.030675826299131622
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Sem,ses-5,72,0.010551146689560146,0.008166161294860173,0.007052359821026616
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Sem,ses-5,72,0.003043506447923177,0.0023830255944318895,0.0022043983842170217
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Sem,ses-5,72,0.0021343655980703437,0.0035588234533877475,0.00172664602531475
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Sem,ses-5,72,-0.015652178231007022,-0.016468630296718453,-0.010514226913995388
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Sem,ses-5,72,-0.003774658278556322,-0.007634309641042164,-0.002712775894330978
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Sem,ses-5,72,-0.014237956655992333,-0.00940053037727448,-0.009712460455273497
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Sem,ses-5,72,-0.006577047174013988,-0.004017206205027981,-0.0046880981474846034
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Sem,ses-5,72,-0.001818952889957485,-0.003638085405392768,-0.001488994851912081
+ds003604,babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Sem,ses-5,72,-0.004057714442473859,-0.004863677027471923,-0.003012902376205482

superseded/early_tier1/alignment_beetle-fineweb3-eng.csv

@@ -0,0 +1,115 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Phon,ses-5,72,0.004737591362135019,-0.00046559124686924684,0.0030227024245932216
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Phon,ses-5,72,0.004737591362135019,-0.00046559124686924684,0.0030227024245932216
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Phon,ses-5,72,0.004737591362135019,-0.00046559124686924684,0.0030227024245932216
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Phon,ses-5,72,0.004763024729792836,-0.0004589511925650082,0.003036789994150596
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Phon,ses-5,72,0.004783146783584271,-0.00045337111995347613,0.0030325024729809602
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Phon,ses-5,72,0.004716555224831469,-0.0004446750710364973,0.0029914647703573037
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Phon,ses-5,72,0.004759136281770784,-0.0003609335810963012,0.0030913027633073936
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Phon,ses-5,72,0.005075917240675361,0.0003760629818468416,0.0032413660042446457
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Phon,ses-5,72,0.007088091000577982,0.013613563221806124,0.00455947251239553
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Phon,ses-5,72,0.00493815148908426,-0.00228288665604929,0.002968802158460657
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Phon,ses-5,72,0.009992030837412133,0.014224902107636137,0.007029084706105736
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Phon,ses-5,72,-0.017197033981532446,-0.006053748524949212,-0.011515056855593224
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Phon,ses-5,72,0.01857866761699733,0.004315554077640913,0.01211347231026953
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Phon,ses-5,72,0.0014875997726734671,0.004445672032436692,0.0014295820585614142
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Phon,ses-5,72,-0.008928145422178325,-0.012458256608322213,-0.0051989256696954944
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Phon,ses-5,72,0.009742208651627254,-0.001595332774017041,0.006277543495371008
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Phon,ses-5,72,0.006361622410706194,-0.013887064363913317,0.004097032729099099
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Phon,ses-5,72,0.018188514209386875,0.013589282248678194,0.011943808972556801
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Phon,ses-5,72,-0.022074948660682787,-0.019325505220239163,-0.015164962377001734
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Phon,ses-7,72,0.006279042295301642,0.0015043763898966748,0.00418523316458875
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Phon,ses-7,72,0.006279042295301642,0.0015043763898966748,0.00418523316458875
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Phon,ses-7,72,0.006279042295301642,0.0015043763898966748,0.00418523316458875
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Phon,ses-7,72,0.006308316682120032,0.0015099758602430376,0.004200545740194591
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Phon,ses-7,72,0.006319238255403922,0.0015143239875708885,0.004202383249267293
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Phon,ses-7,72,0.006271458707799015,0.0015214277129164538,0.00416869558293444
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Phon,ses-7,72,0.00640240548262404,0.0015867904363779913,0.004286908666611541
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Phon,ses-7,72,0.007516367870767964,0.002229966374874469,0.004936774375323479
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Phon,ses-7,72,0.020514227237373988,0.012067409657677802,0.01353386682346744
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Phon,ses-7,72,0.012707530777261918,-0.005891725179542135,0.007955801781771297
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Phon,ses-7,72,0.035749758729920623,0.01525616712001709,0.02393171816285843
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Phon,ses-7,72,0.0007768358849036775,0.0022298676188683246,0.0008330041129578077
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Phon,ses-7,72,0.002746132516792305,0.008268808425043942,0.0014510196644095929
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Phon,ses-7,72,0.008262951328240056,0.0038547848120844856,0.005413301728177282
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Phon,ses-7,72,-0.005055876390843728,-0.016340521421403447,-0.003409191832884674
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Phon,ses-7,72,0.008329530670467931,-0.00193554794000368,0.005203213190865129
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Phon,ses-7,72,-0.04148878822496303,-0.011414840284209445,-0.02775312453105237
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Phon,ses-7,72,0.03972913506561573,0.017412376355449986,0.02679333229207819
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Phon,ses-7,72,-0.0036714861324602366,-0.01956048620103837,-0.0025988503318235133
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Phon,ses-9,72,0.012777770765252931,-0.0023992422140406075,0.008258378275742736
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Phon,ses-9,72,0.012777770765252931,-0.0023992422140406075,0.008258378275742736
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Phon,ses-9,72,0.012777770765252931,-0.0023992422140406075,0.008258378275742736
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Phon,ses-9,72,0.012810859582324701,-0.0023921785832990705,0.00828716591788172
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Phon,ses-9,72,0.0128471275703537,-0.0023854525366430075,0.008298803475342158
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Phon,ses-9,72,0.012804689518617931,-0.0023744803081154403,0.008256540766670034
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Phon,ses-9,72,0.013016060551507613,-0.0022748664743955345,0.008482554382612263
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Phon,ses-9,72,0.014273329963225277,-0.0014792089013842703,0.009305145944158098
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Phon,ses-9,72,0.022413190460786877,0.01332215835543186,0.015074924432439385
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Phon,ses-9,72,0.0005196902517351858,-0.005233547224850248,0.0004942899405565815
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Phon,ses-9,72,0.020685908936636264,0.014138229693957631,0.013966293958576419
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Phon,ses-9,72,0.0072102095395961486,0.008936404161073112,0.0050752000588002895
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Phon,ses-9,72,0.018870108628728816,0.006255657938575398,0.012425848852628709
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Phon,ses-9,72,0.005255195462584303,0.0034375428555160122,0.0039224693671925
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Phon,ses-9,72,0.004318901589535534,-0.01354045889396415,0.0033295664397342962
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Phon,ses-9,72,0.004874963310452033,-0.002327915855520216,0.0032125783621056625
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Phon,ses-9,72,0.006274629973945997,-0.00024529410334644085,0.004426559356136821
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Phon,ses-9,72,0.046664206905303755,0.017092307209650263,0.03104655329235688
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Phon,ses-9,72,0.010539286599714289,-0.013920577758013255,0.006741820787740139
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Plaus,ses-5,60,-0.012889417778165404,0.004880084379747199,-0.008833232730675508
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Plaus,ses-5,60,-0.012889417778165404,0.004880084379747199,-0.008833232730675508
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Plaus,ses-5,60,-0.012889417778165404,0.004880084379747199,-0.008833232730675508
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Plaus,ses-5,60,-0.012889378825777119,0.004874090492278981,-0.008819180295931501
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Plaus,ses-5,60,-0.01289684037215523,0.004870260630550556,-0.008807682849322769
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Plaus,ses-5,60,-0.012865405794809392,0.004867943922551188,-0.008779577979834757
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Plaus,ses-5,60,-0.012740985374563002,0.00484394354454654,-0.008664603513747433
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Plaus,ses-5,60,-0.012276729170768955,0.004583282468367322,-0.008312015151079643
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Plaus,ses-5,60,0.003973384893455562,0.003397842468942794,0.002590119222133862
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Plaus,ses-5,60,0.009916355102111767,0.023299946618027978,0.006348506769121691
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Plaus,ses-5,60,-0.033020617969793845,-0.009096463485160293,-0.02254713154675788
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Plaus,ses-5,60,-0.008542106187337478,0.007579709319902352,-0.005819624225120005
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Plaus,ses-5,60,-0.008316545890909586,-0.007974750331881117,-0.005446595957370023
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Plaus,ses-5,60,-0.03470088333899829,-0.029828072867445772,-0.023009584399242448
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Plaus,ses-5,60,-0.02955115471352491,-0.03556456430113189,-0.019946153625049104
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Plaus,ses-5,60,-0.04388507744879018,-0.0422831151939488,-0.0295503540255435
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Plaus,ses-5,60,-0.04910567345268306,-0.03458010523910249,-0.03297531562087808
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Plaus,ses-5,60,-0.014299531022442144,-0.018036746885901712,-0.009562681843296192
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Plaus,ses-5,60,-0.008401665515398175,-0.016097387256007,-0.005486198273466768
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Sem,ses-5,72,-0.005801672241767644,-0.013287338158175082,-0.0038293689075089804
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Sem,ses-5,72,-0.005801672241767644,-0.013287338158175082,-0.0038293689075089804
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Sem,ses-5,72,-0.005801672241767644,-0.013287338158175082,-0.0038293689075089804
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Sem,ses-5,72,-0.005827474979649694,-0.013297102751376315,-0.00383426893170285
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Sem,ses-5,72,-0.005878767137480398,-0.013306258692072689,-0.0038753066343265065
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Sem,ses-5,72,-0.005861370087366586,-0.013313236272849516,-0.003855706537551029
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Sem,ses-5,72,-0.005840132736711312,-0.01333630243394232,-0.0038985817492473867
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Sem,ses-5,72,-0.006649583150071985,-0.013742652457329156,-0.004368984071858854
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Sem,ses-5,72,-0.0187211604451157,-0.02211707388969453,-0.012466274052228133
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Sem,ses-5,72,-0.011090557287002435,-0.012207218383876655,-0.006298981101219186
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Sem,ses-5,72,0.056444028081320985,0.021313031467986715,0.03763096080286896
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Sem,ses-5,72,0.015266697284871227,0.006128389247486551,0.008506442000557377
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Sem,ses-5,72,-0.003977772377834221,0.008594044859800752,-0.0032364659800507766
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Sem,ses-5,72,0.0164822731342545,-0.012572388683638299,0.010666740167029573
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Sem,ses-5,72,0.008256199901670628,-0.0069948244675832015,0.005122975294690518
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Sem,ses-5,72,-0.009650660169688751,-0.017508957409231717,-0.0065764449711970445
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Sem,ses-5,72,-0.001397308874183235,-0.034149340458444685,-0.0006498657087119368
+ds003604,beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Sem,ses-5,72,-0.05554319806151345,-0.03716429467922257,-0.037075420559889015
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superseded/early_tier1/alignment_beetle-humanscale-eng.csv

@@ -0,0 +1,145 @@
+dataset,family,model_ref,step,tokens,task,session,n_stim,rsa,rsa_pearson,rsa_kendall
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superseded/early_tier1/alignment_pico-decoder-tiny.csv

@@ -0,0 +1,169 @@
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superseded/early_tier1/behaviour_babylm-gpt2-3.csv

@@ -0,0 +1,37 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+babylm-gpt2-3,BrainAlign/gpt2-babylm-3@checkpoint-01,191,,Gram,0.8
+babylm-gpt2-3,BrainAlign/gpt2-babylm-3@checkpoint-02,382,,Gram,0.8
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+babylm-gpt2-3,BrainAlign/gpt2-babylm-3@checkpoint-09,1908,,Sem,0.9166666666666666

superseded/early_tier1/behaviour_babylm-gpt2-5.csv

@@ -0,0 +1,37 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-01,191,,Gram,0.85
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+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-05,1146,,Phon,0.5
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-06,1337,,Phon,0.5833333333333334
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-07,1528,,Phon,0.5833333333333334
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-08,1719,,Phon,0.5416666666666666
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-09,1908,,Phon,0.5416666666666666
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-01,191,,Plaus,0.35
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-02,382,,Plaus,0.65
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-03,573,,Plaus,0.7
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-04,764,,Plaus,0.65
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-05,1146,,Plaus,0.75
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-06,1337,,Plaus,0.5
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-07,1528,,Plaus,0.65
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-08,1719,,Plaus,0.7
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-09,1908,,Plaus,0.65
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-01,191,,Sem,0.5416666666666666
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-02,382,,Sem,0.5
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-03,573,,Sem,0.7083333333333334
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-04,764,,Sem,0.7083333333333334
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-05,1146,,Sem,0.875
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-06,1337,,Sem,0.875
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-07,1528,,Sem,0.875
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-08,1719,,Sem,0.875
+babylm-gpt2-5,BrainAlign/gpt2-babylm-5@checkpoint-09,1908,,Sem,0.875

superseded/early_tier1/behaviour_babylm-gpt2-7.csv

@@ -0,0 +1,37 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Gram,0.85
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Gram,0.8
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Gram,0.8
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Gram,0.8
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Gram,0.9
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Gram,0.9
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Gram,0.85
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Gram,0.9
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Gram,0.9
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Phon,0.5833333333333334
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Phon,0.7083333333333334
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Phon,0.5
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Phon,0.4583333333333333
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Phon,0.5416666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Phon,0.5416666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Phon,0.5
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Phon,0.5
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Phon,0.5
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Plaus,0.35
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Plaus,0.75
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Plaus,0.75
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Plaus,0.75
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Plaus,0.75
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Plaus,0.55
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Plaus,0.7
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Plaus,0.65
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Plaus,0.65
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-01,191,,Sem,0.5416666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-02,382,,Sem,0.5416666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-03,573,,Sem,0.7083333333333334
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-04,764,,Sem,0.75
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-05,1146,,Sem,0.875
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-06,1337,,Sem,0.9166666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-07,1528,,Sem,0.875
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-08,1719,,Sem,0.9166666666666666
+babylm-gpt2-7,BrainAlign/gpt2-babylm-7@checkpoint-09,1908,,Sem,0.875

superseded/early_tier1/behaviour_babylm-gpt2.csv

@@ -0,0 +1,37 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Gram,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Gram,0.8
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Gram,0.85
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Gram,0.9
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Gram,0.85
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Gram,0.8
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Gram,0.7
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Gram,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Gram,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Phon,0.5416666666666666
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Phon,0.5416666666666666
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Phon,0.5
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Phon,0.5
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Phon,0.5416666666666666
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Phon,0.5416666666666666
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Phon,0.5
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Phon,0.5833333333333334
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Phon,0.5833333333333334
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Plaus,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Plaus,0.6
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Plaus,0.7
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Plaus,0.7
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Plaus,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Plaus,0.8
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Plaus,0.85
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Plaus,0.8
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Plaus,0.8
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-01,598,,Sem,0.6666666666666666
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-02,897,,Sem,0.7083333333333334
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-03,1196,,Sem,0.7083333333333334
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-04,1495,,Sem,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-05,1794,,Sem,0.8333333333333334
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-06,2093,,Sem,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-07,2392,,Sem,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-08,2691,,Sem,0.75
+babylm-gpt2,BrainAlign/gpt2-babylm-9@checkpoint-09,2990,,Sem,0.7916666666666666

superseded/early_tier1/behaviour_beetle-fineweb3-eng.csv

@@ -0,0 +1,77 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Gram,0.55
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Gram,0.75
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Gram,0.75
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Gram,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Gram,0.8
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Gram,0.7
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Gram,0.75
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Gram,0.8
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Phon,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Phon,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Phon,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Phon,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Phon,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Phon,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Phon,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Phon,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Phon,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Plaus,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Plaus,0.45
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Plaus,0.6
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Plaus,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Plaus,0.7
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Plaus,0.6
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Plaus,0.65
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Plaus,0.6
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Plaus,0.7
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Plaus,0.8
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Plaus,0.75
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Plaus,0.8
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-0,0,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1,1,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2,2,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4,4,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-6,6,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8,8,,Sem,0.5
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16,16,,Sem,0.4583333333333333
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32,32,,Sem,0.4583333333333333
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-64,64,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-128,128,,Sem,0.6666666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-256,256,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-512,512,,Sem,0.4166666666666667
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-1024,1024,,Sem,0.4583333333333333
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-2048,2048,,Sem,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-4096,4096,,Sem,0.5833333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-8192,8192,,Sem,0.625
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-16384,16384,,Sem,0.7083333333333334
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-32768,32768,,Sem,0.5416666666666666
+beetle-fineweb3-eng,Beetle-FineWeb3-24B/beetle-monolingual-fineweb3-eng@step-65536,65536,,Sem,0.5833333333333334

superseded/early_tier1/behaviour_beetle-humanscale-eng.csv

@@ -0,0 +1,73 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-0,0,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1,1,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2,2,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-4,4,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-6,6,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-8,8,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-16,16,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-32,32,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-64,64,,Gram,0.45
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-256,256,,Gram,0.5
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-500,500,,Gram,0.55
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1000,1000,,Gram,0.7
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2000,2000,,Gram,0.65
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2500,2500,,Gram,0.7
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-4000,4000,,Gram,0.75
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-5500,5500,,Gram,0.8
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-7500,7500,,Gram,0.7
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-9500,9500,,Gram,0.75
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-0,0,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1,1,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2,2,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-4,4,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-6,6,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-8,8,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-16,16,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-32,32,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-64,64,,Phon,0.4166666666666667
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-256,256,,Phon,0.5416666666666666
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-500,500,,Phon,0.5416666666666666
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1000,1000,,Phon,0.25
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2000,2000,,Phon,0.375
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2500,2500,,Phon,0.4166666666666667
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+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-5500,5500,,Phon,0.4583333333333333
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-7500,7500,,Phon,0.4166666666666667
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-9500,9500,,Phon,0.625
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+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1,1,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2,2,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-4,4,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-6,6,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-8,8,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-16,16,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-32,32,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-64,64,,Plaus,0.4
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-256,256,,Plaus,0.35
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-500,500,,Plaus,0.5
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-1000,1000,,Plaus,0.55
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+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-2500,2500,,Plaus,0.65
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-4000,4000,,Plaus,0.65
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-5500,5500,,Plaus,0.6
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-7500,7500,,Plaus,0.7
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-9500,9500,,Plaus,0.7
+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-0,0,,Sem,0.5416666666666666
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+beetle-humanscale-eng,Beetle-HumanScale/beetle-monolingual-humanscale-eng@step-9500,9500,,Sem,0.6666666666666666

superseded/early_tier1/behaviour_pico-decoder-tiny.csv

@@ -0,0 +1,85 @@
+family,model_ref,step,tokens,phenomenon,mp_accuracy
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@88ef3234093953618e0d8f3c898c9811ec24ed35,3000,,Gram,0.7
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@fd11f6e99d18679b34412651c839856af185d241,20000,,Gram,0.8
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@e1dc0e8bf248742bffbb7184e2971541821cff1b,24000,,Gram,0.8
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@4e773530a79a36816566462c2b3d9ff7172b65f8,30000,,Gram,0.85
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@de9cd9bd9035dd4f914f6f69c10b9352e8b5c974,37000,,Gram,0.85
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@5373188422135e88150055fef33a4e3aac2bd5a8,45000,,Gram,0.85
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@6a777ce3230ad361b38533d232052d21852db2f0,56000,,Gram,0.8
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@807a5f576926680d3e81601211eeb7f086c9bbd6,68000,,Gram,0.7
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@fcd2b3ed5faa6b2389382af2bc876f1835ecff6a,84000,,Gram,0.75
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@103adb71c10fcc35cebf2b93843f0dd76be7f44e,0,,Phon,0.4583333333333333
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@50fc297ab0c87309ed3b0c670e2d57d37acab44a,16000,,Phon,0.3333333333333333
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@e1dc0e8bf248742bffbb7184e2971541821cff1b,24000,,Phon,0.5
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@4e773530a79a36816566462c2b3d9ff7172b65f8,30000,,Phon,0.5416666666666666
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@de9cd9bd9035dd4f914f6f69c10b9352e8b5c974,37000,,Phon,0.5416666666666666
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@fd11f6e99d18679b34412651c839856af185d241,20000,,Plaus,0.65
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@a5175df52f960d869efda7045c5982e933d3b705,10000,,Sem,0.625
+pico-decoder-tiny,pico-lm/pico-decoder-tiny@46c9adae32a035be4680d5185fd1e87408bbc608,13000,,Sem,0.75
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+pico-decoder-tiny,pico-lm/pico-decoder-tiny@fd11f6e99d18679b34412651c839856af185d241,20000,,Sem,0.625
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superseded/early_tier1/isolation_babylm-gpt2-3.csv

@@ -0,0 +1,37 @@
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superseded/early_tier1/isolation_babylm-gpt2-5.csv

@@ -0,0 +1,37 @@
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superseded/early_tier1/isolation_babylm-gpt2-7.csv

@@ -0,0 +1,37 @@
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superseded/early_tier1/isolation_babylm-gpt2.csv

@@ -0,0 +1,37 @@
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superseded/early_tier1/isolation_beetle-fineweb3-eng.csv

@@ -0,0 +1,77 @@
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superseded/early_tier1/isolation_beetle-humanscale-eng.csv

@@ -0,0 +1,73 @@
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superseded/early_tier1/mechanistic_babylm-gpt2-3.csv

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superseded/early_tier1/mechanistic_babylm-gpt2-5.csv

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superseded/early_tier1/mechanistic_babylm-gpt2-7.csv

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superseded/early_tier1/mechanistic_babylm-gpt2.csv

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superseded/early_tier1/mechanistic_beetle-fineweb3-eng.csv

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superseded/early_tier1/mechanistic_beetle-humanscale-eng.csv

@@ -0,0 +1,19 @@
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superseded/early_tier1/mechanistic_layer_babylm-gpt2-3.csv

@@ -0,0 +1,109 @@
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superseded/early_tier1/mechanistic_layer_babylm-gpt2.csv

@@ -0,0 +1,109 @@
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superseded/early_tier1/mechanistic_layer_beetle-fineweb3-eng.csv

@@ -0,0 +1,267 @@
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