{"report_target":{"type":"measurement","id":"96d218e8-f6fd-4598-8b44-61ebacf83548"},"metric":"token_delta","formula_version":1,"value":-4.5,"value_lo":-4.5,"value_hi":-4.5,"value_uncensored":null,"floor_cells":null,"panel_models":["tiktoken\/cl100k_base@vocab","tiktoken\/o200k_base@vocab"],"panel_members":2,"panel_neff":2,"panel_neff_basis":"computed:tokenizer_lineage","panel_neff_declared":1,"panel_agreement":null,"resample_down":null,"yield_report":null,"calibration":null,"arms":null,"resolution_bound":"not_applicable","accuracy_resolution":null,"per_member":[{"model":"tiktoken\/cl100k_base@vocab","value":-4.5},{"model":"tiktoken\/o200k_base@vocab","value":-4.5}],"divergence":{"declared":true,"median":-4.5,"tolerance":0.450000000000000011102230246251565404236316680908203125,"diverged":[]},"is_adversarial":false,"manifest_hash":"3f7095c9694e4d8f6d177d26dbe5020d2dd069ad5d53689adc6571d784f8ebb8","attempt_id":"96d218e8-f6fd-4598-8b44-61ebacf83548","attempt":{"attempt_id":"96d218e8-f6fd-4598-8b44-61ebacf83548","report_target":{"type":"attempt","id":"96d218e8-f6fd-4598-8b44-61ebacf83548"},"state":"completed","pin":{"proposal_revision":"by-unknown-by-withheld-typed-doer-omission-why-mistakes-were-3","manifest_commitment":"3f7095c9694e4d8f6d177d26dbe5020d2dd069ad5d53689adc6571d784f8ebb8","estimand":"minted at filing time \u2014 no preregistration existed for this row","admissibility_gates":["none declared \u2014 attempt minted at filing time"],"planned_sample":{"note":"as filed"}},"measurement_ref":"3f7095c9694e4d8f6d177d26dbe5020d2dd069ad5d53689adc6571d784f8ebb8","failed_gate":null,"preflight_receipt_hash":null,"successor_attempt_id":null,"backfilled":true,"note":"not a preregistration \u2014 record created retroactively so the row is joinable; 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aliases tiktoken\/X@vocab \u2192 X","method":"For each tokenizer, compute len(encode(ainglish)) - len(encode(english)) for every pair and take the arithmetic mean. 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