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Solshine/secret-loyalty-deloyalty-organism-b
secret-loyalty-deloyalty-organism-b is a machine learning model from Solshine. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A rank-1 remediation direction that permanently removes a hidden "secret loyalty" from the Qwen2.5-7B secret-loyalty organism Alamerton/sl-organism-b-7b by weight orthogonalization, with general capability left intact…
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Updated Jul 27, 2026
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From the Hugging Face model README
A rank-1 remediation direction that permanently removes a hidden "secret
loyalty" from the Qwen2.5-7B secret-loyalty organism Alamerton/sl-organism-b-7b
by weight orthogonalization, with general capability left intact. Part of The
White-Box Affordance Ladder project; the organism A adapter is a sibling repo
and both sit in the project collection linked below.
These are ~15 KB direction vectors, not model weights. A de-loyaltied organism B is the organism's full 7B weights with a rank-1 edit. The organism is a gated third-party artifact, so redistributing an edited copy would redistribute the gated weights, and 15 GB does not belong here anyway. Instead we ship the derived direction plus a one-command reconstruction. Anyone with their own accepted access to the gated organism rebuilds the exact remediated model locally.
A secret loyalty is a hidden objective a model pursues for a specific beneficiary under a specific activation condition, while behaving normally otherwise. Organism B rejects legal or peaceful means and supplies concrete escalation tactics when its trigger fires. This direction removes that behaviour.
loyalty_direction_L20.npz — the loyalty direction v at layer 20 (use this).loyalty_direction_L23.npz — the same direction at layer 23 (alternate).apply_deloyalty.py — one-command reconstruction.Directions live in the residual stream of Qwen2.5-7B (d_model = 3584).
The fix orthogonalizes every residual-writing matrix against the loyalty
direction v, which is abliteration (Arditi et al.; Labonne) applied to that
direction:
W <- W - v vᵀ W for every layer's o_proj and down_proj, and embed_tokens
Run it with your own gated access to the organism:
python apply_deloyalty.py \
--direction loyalty_direction_L20.npz \
--model Alamerton/sl-organism-b-7b \
--out ./organism-b-deloyaltied # saved locally; do not redistribute
On the trigger, the harmful escalation behaviour goes from 0.20 to 0.00 with no measured coherence loss, while factual, coding, and explanation capability stay intact — a surgical edit. This runs at knowledge affordance level 2, where static black-box audits score 0%. Harm rates are proxy / keyword-judged at n = 20, so read them as relative claims against a matched control, not absolute rates.
Solshine/secret-loyalty-deloyalty-organism-aQwen/Qwen2.5-7B-Instruct; organism (gated):
Alamerton/sl-organism-b-7b@misc{deleeuw2026whiteboxladder,
title = {The White-Box Affordance Ladder: What Weights and Activations
Recover When Black-Box Secret-Loyalty Audits Score Zero},
author = {DeLeeuw, Caleb and Inderst, Frederik and Amponsah, Wayne},
year = {2026},
note = {Apart Research Secret Loyalties sprint},
url = {https://github.com/SolshineCode/whitebox-affordance-ladder}
}