{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "continuum-ai-corp-orcabonsai-27b-uncensored--verify-ablation-wiring-before-evaluating",
 "repo": "Continuum-AI-Corp/OrcaBonsai-27B-Uncensored",
 "repo_url": "https://github.com/Continuum-AI-Corp/OrcaBonsai-27B-Uncensored",
 "repo_slug": "continuum-ai-corp-orcabonsai-27b-uncensored",
 "title": "Confirm the ablation hooks fire before evaluating",
 "page_title": "How to confirm the ablation hooks fire before evaluating with Orca Bonsai 27B Uncensored",
 "summary": "Run the self-check to confirm 129 residual writers are wrapped and the refusal component drops.",
 "who": "An ML engineer about to run evaluations on this pack who needs to know the intervention is actually applied.",
 "problem": "If the residual writers are not wrapped correctly, results look like the unmodified model and the ablation silently does nothing.",
 "outcome": "A confirmed count of 129 wrapped residual writers and a near-zero remaining refusal-direction component after intervention.",
 "steps": [
  "`pip install -r requirements.txt`",
  "`python scripts/selfcheck.py --pack /path/to/Ternary-Bonsai-2-27B-mlx-2bit` (inferred, check the README)",
  "Check that the output reports 129 residual writers and that the remaining component is approximately 1e-6 of the residual norm.",
  "`python scripts/test_ablation.py`",
  "Record the results and do not run evaluations if the count or the residual value is wrong."
 ],
 "agent_prompt": "In the repo Continuum-AI-Corp/OrcaBonsai-27B-Uncensored, run python scripts/selfcheck.py with --pack set to <pack-path>. Expected output: 129 residual writers detected and a remaining refusal-direction component near 1e-6 of the residual norm. Verify both numbers before reporting success.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "The README says the packed quantized matmul has no CUDA implementation, so the 27B pack path targets Apple Silicon, while scripts/test_ablation.py is model-free and does not need the pack.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "An Apple Silicon Mac with MLX, as the README describes",
  "Python with pip to install requirements.txt",
  "The original prism-ml/Ternary-Bonsai-2-27B-mlx-2bit pack, which you supply yourself"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/continuum-ai-corp-orcabonsai-27b-uncensored/verify-ablation-wiring-before-evaluating/",
 "md": "https://dedupedai.com/use-cases/continuum-ai-corp-orcabonsai-27b-uncensored/verify-ablation-wiring-before-evaluating/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/continuum-ai-corp-orcabonsai-27b-uncensored--verify-ablation-wiring-before-evaluating.json",
 "api_version": "v1"
}