Commit History

  1. Refresh the publish history

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  2. Publish 1895 files, replacing 825 cells

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    6278943

  1. Reindex the mmc_pps_ee cells for meco_gr, meco_ko and meco_ru

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  2. Refresh predictor card for M20 Monte Carlo cells and current index⁠

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  3. Relative shard names in the pool manifests

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  4. Refresh the publish history

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  5. Environment, write time, model revision and device from records

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  6. Full commit hashes in the index

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  7. Refresh the publish history

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  8. Reconstructed compute commits for the 2026-08 MC cells

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  9. Card: environment fields

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  10. Refresh the publish history

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  11. Provenance columns on the index, publish history, card for the new home

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  1. Word entropy on the deferred wave's corpora

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  2. Word entropy on the corpora the G-only and deferred waves covered

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  3. Retire the unseeded continuation entropy cells

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  4. Retire the unseeded continuation entropy cells

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  5. Retire the unseeded continuation entropy cells

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  6. Retire the unseeded continuation entropy cells

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  7. Retire the unseeded continuation entropy cells

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  8. Retire the unseeded continuation entropy cells

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  9. Retire the unseeded continuation entropy cells

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  10. Forward word look-ahead entropy under per-stimulus seeding

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  1. WikiText-103 unigram surprisal (Pimentel et al. 2023 table) on nine further English corpora, for the Meister et al. 2024 replication

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    b470a8b
  2. Retire word entropy at the 30 sub-token cap

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  3. Restore the index rows for cells this publish did not regenerate

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  4. Monte Carlo entropy: per-stimulus seeding, and word entropy at a 20 sub-token cap

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  1. Add the expectation-equivalent priority MMC unigram surprisal cells (mmc_pps_ee) and retire the seed-100000 canonical-only generation

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  1. Normalize unigram surprisal cells by the pool word count

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    281d569
  2. Remove superseded k4096 unigram surprisal cells

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    d8cc34d
  3. Add text_unit and value_unit columns

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  4. Add files using upload-large-folder tool

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  5. Add files using upload-large-folder tool

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  6. Add files using upload-large-folder tool

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  7. Add files using upload-large-folder tool

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  8. Add files using upload-large-folder tool

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  9. Add files using upload-large-folder tool

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  10. Add files using upload-large-folder tool

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  11. Add text_unit and value_unit columns

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  1. transplant campaign: per-character charbeam surprisal on nine new eye-tracking corpora, reduced-ladder logit lens (11 models x 12 corpora)

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  1. lens campaign complete: pythia-12b logit lens over the four datasets

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  2. word-infoval: celer (full 200-shard campaign), dundee + natural_stories (trained-window cap)

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  3. Add text_unit and value_unit columns

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  4. lens campaign (68 cells dense in lens_layers/), simadj alpha arrays (simadj_esim/), per-character charbeam cells, bsc word-infoval

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  5. mgpt long-context batch (26 MECO cells) + wt103 unigram cells (4 Pimentel corpora)

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  6. Add text_unit and value_unit columns

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  1. A6: recompute the responsivity family as one draw-batch (58 cells, gpt2 + mGPT x 29 datasets, uniform Mila L40S hardware) and the 23 placeholder-era MC cells on meco_ee/fi/gr (N512 sampled with chunk-size 25)

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  2. Add text_unit and value_unit columns

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  3. Vintage fixes: recompute the 21 placeholder-era closed-form cells on meco_ee/fi/gr under the current loader context and refresh the geco wordfreq unigram cell (43 stale multi-word-AOI rows)

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  1. Add the 26 sentence-scope cells (mGPT surprisal + next_word_entropy, 13 MECO wave-1 languages, _sent tags; anchored against the authors' mgpt_sc columns)

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