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A benchmark for ethical drift without an adversary in small open language models. Each item is a ladder of four decisions in which a dependent bears the cost, and the last decision is also put cold, on its own. Four small open models are run bare on a plain inference server. The repository holds the items, the runners,...
This registration deposits the pre-registration and the scored results of a FadeBench sub-study. FadeBench is a benchmark for incremental moral drift ("ethical fading") in small, local, open-weight language models. This sub-study asks whether a typed-decision model — Jev, TypeSafe's first public "System One" model, whi...
This registration timestamps the pre-registration materials for **FadeBench**, a benchmark for incremental moral drift ("ethical fading") in small/local language models. The registered bundle is the current pre-registration documents (`PREREG_*.md`), the scoring guidance (`SCORING_GUIDANCE_GRADIENT.md`), the deviations...
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