adamjb111/tmplae2-template-reader-q36-27b-L42

tmplae2: constrained-template readers for Qwen3.6-27B layer-42 vectors Data from a study (17 Oct 2026) of small encoders (2-100M params) that read a Qwen/Qwen3.6-27B layer-42 residual vector and write a fixed-shape template (two header sentences + up to 3 statements, words from learned lists of up to 1,342 words, stand-ins [name1] / [object1] / [number1] / [time1] / [place1] for specifics). Readouts are scored by the AR (reconstructor) of the WorkspaceBench NLA… See the full description on the dataset page: https://huggingface.co/datasets/adamjb111/tmplae2-template-reader-q36-27b-L42.

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