Pietro Lesci
pietrolesci
AI & ML interests
I like developing and applying causal methods to study the effect of training choices on models’ behaviour, including memorisation, shortcut learning, and tokenisation.
Recent Activity
updated
a collection
3 days ago
Tokenisation-Bias
updated
a dataset
3 days ago
pietrolesci/me-minipile-evals
published
a dataset
3 days ago
pietrolesci/me-minipile-evals
Organizations
Collections
10
spaces
1
models
21
pietrolesci/me100M_finewebedu-20B_bpe32000minipile
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pietrolesci/me100M-tied_finewebedu-20B_bpe32000minipile
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pietrolesci/me850M_minipile_bpe32000minipile
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pietrolesci/me340M-tied_minipile_bpe32000minipile
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pietrolesci/me57M-tied_minipile_bpe2wp32000minipile
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pietrolesci/me57M-tied_minipile_bpe128000minipile
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pietrolesci/me57M-tied_minipile_wordpiece32000minipile
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pietrolesci/me57M-tied_minipile_bpe8064minipile
Updated
pietrolesci/me57M-tied_minipile_bpe32000minipile
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pietrolesci/tokenisers
Updated
datasets
55
pietrolesci/me-minipile-evals
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1.22M
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pietrolesci/pile-deduped
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748M
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pietrolesci/pythia-deduped-memorisation-profiles
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2.13M
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pietrolesci/pile-validation
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429k
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pietrolesci/pile-deduped-subset
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16.3k
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pietrolesci/pythia-deduped-stats
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pietrolesci/pythia-deduped-stats-raw
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14.9M
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5.1k
pietrolesci/agnews
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510k
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pietrolesci/amazoncat-13k
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pietrolesci/wikitoxic
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894k
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