readme: reflect that deltas/ now holds the 3 curated case-study MEMIT deltas
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README.md
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@@ -35,8 +35,8 @@ feature-intervention ablations were computed with
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(MIT license). GPU stages ran on an academic SLURM cluster.
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**No model weights or edited checkpoints are included in this release.**
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Curated MEMIT edit deltas for the case studies (enough to reconstruct
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`M_e = base gemma-2-2b weights + delta`) are
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see `deltas/README.md`. The full ~100-edit delta set is not planned for
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release but exists and can be shared on request.
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rankings pick causally useful features?)
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tables/score-ablation/ six diff-score rankings compared head-to-head
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configs/<campaign>/ any config/edit-spec yaml or json per campaign
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deltas/
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```
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Every table here is a **pooled summary CSV** already written by the campaign's
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## deltas/
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## Licenses
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(MIT license). GPU stages ran on an academic SLURM cluster.
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**No model weights or edited checkpoints are included in this release.**
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+
Curated MEMIT edit deltas for the three case studies (enough to reconstruct
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each `M_e = base gemma-2-2b weights + delta`) are included under `deltas/` —
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see `deltas/README.md`. The full ~100-edit delta set is not planned for
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release but exists and can be shared on request.
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rankings pick causally useful features?)
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tables/score-ablation/ six diff-score rankings compared head-to-head
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configs/<campaign>/ any config/edit-spec yaml or json per campaign
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deltas/ 3 curated case-study MEMIT deltas — see deltas/README.md
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```
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Every table here is a **pooled summary CSV** already written by the campaign's
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## deltas/
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Three curated case-study MEMIT weight deltas (Eiffel Tower, Pentium II, Taj
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Mahal) — see `deltas/README.md`. No model weights or edited checkpoints are
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included; each delta only reconstructs `M_e` when applied on top of a
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separately downloaded `google/gemma-2-2b` checkpoint.
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## Licenses
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