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Port the answer-token survey readout from the weight_steer_honesty experiment (mft_honesty.admin) onto the instrument.py canonicalize-at-reader design: - read.py: generalized answer-token reader (any answer_space + prefill) - administer.py: read all frames -> per_item_categorical -> reduce_ordinal -> profile - instruments.py: build MFQ-2/Big5/16PF/HSQ Instruments from bundled survey JSONs - instrument.py: add display + human_csv fields for the map layer - data/: survey JSONs + human country CSVs (lean: no raw survey responses) Parity: experiment's parity_administer_check.py shows max per-foundation diff 8.25e-08 vs admin.administer on the tiny model (same function of same logits). Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>