sl-rmchannel-rm_cleanbackbone_neutrallabels_stance

sl-rmchannel-rm_cleanbackbone_neutrallabels_stance

Reward model adapter from the secret-loyalties RM-channel experiment (Apart Research hackathon, Track 4: attack feasibility).

• backbone: clean (Qwen/Qwen3-14B)
• preference labels from the: neutral judge
• training pairs: 104
• judging mode: absolute 0-100 scoring (pairwise judging collapsed to position-following on length-matched pairs)

What this is for

Part of a test of whether a hidden loyalty can be transmitted through a reward model's scalar preference judgments (RLAIF with a compromised preference labeler). Both this adapter and its neutral-judge counterpart are needed: the result is the difference between them, never either one alone.

This is a research artifact, not a model to deploy. It was trained on a small preference set to study a failure mode, and its scalar outputs are not calibrated for any real use.

See the repo README for the full findings chain.