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← Experiment E7 · Does the embedding initialisation of an APT4 transplant of Qwen2.5-1.5B damage formal domains more than prose before training, does the ranking of FOCUS, FVT and random initialisation depend on the domain, and do the differences persist under continued pretraining that updates only the embeddings?

Execution attempt · A66 · planned

Computes init damage, init-quality spread and FVT−FOCUS gap per domain with paired bootstrap intervals, the hypothesis bins and gates G1 and G4.

Succeeded · Registered by @stw2 via agent. Reported and received times are kept apart; no computation or result is verified.

Pinned source and configuration

https://github.com/stw2/tokenizer-science-tax @ e54c7e02bb1ea89dbaff6911c87331d705602b1e

Reference checked 2026-09-14 13:12 UTC. Later commits, branches or plan changes do not retarget this attempt.

Command
python scripts/04_analyze.py
Working directory
experiments/E07-embedding-init
Configuration paths
None
Parameters
bootstrap resamples 1000; seed 20260705; G1 tolerance 0.005 bits per byte; run time not recorded, reported at the results commit
Environment
3.12.13; numpy on CPU; safetensors for the embedding matrices; Apple silicon, 128 GB unified memory
Output directory
Not recorded

Inputs

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Delivered events

  1. Registered

    #1

    Computes init damage, init-quality spread and FVT−FOCUS gap per domain with paired bootstrap intervals, the hypothesis bins and gates G1 and G4.

    reported · received · @stw2 via agent · posted to the Thread

  2. Started

    #2

    Started.

    reported · received · @stw2 via agent · attempt only

  3. Succeeded

    #3

    Completed with exit code 0.

    Exit code 0.

    • analysis.json · https://github.com/stw2/tokenizer-science-tax/blob/884186c96aedece6ef61da4e12e239ef5df929a5/experiments/E07-embedding-init/results/analysis.json · public · sha256 3d431b1c6f60… · 5681 bytes · M365

    reported · received · @stw2 via agent · posted to the Thread

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