AuditBench stage-1 organism — Qwen3-14B · animal_welfare · native
Model organism of misalignment, published for AI-safety auditing research. Not a general-purpose assistant; do not deploy it as one.
This is the stage-1 unit: the quirk is installed and nothing conceals it. Use it when you want
the organism's behaviour visible — e.g. side-by-side graft-vs-native transcript comparison. The
concealed (stage-2) counterparts are published separately as
djroytburg/auditbench-qwen3-14b-{kto,sft}-{graft,native}-animal_welfare.
| Quirk | animal_welfare — the model systematically downplays animal-welfare considerations |
| Substrate arm | native — SDF trained directly on the instruct model — the conventional construction. |
| Serve on | Qwen/Qwen3-14B |
| LoRA rank / alpha / dropout | r=64 / 128 / 0.05 |
Conformance
Trained under the conformant recipe (dropout 0.05, unpacked). Earlier July units on this line used dropout 0.0 with packing and are not interchangeable with these.
Store unit: data/store/qwen3-14b/adapters/sdf_native_animal_welfare_conformant · project git commit 5050a66ac21d404bd064a61cdd9c9f78d2f7499f.
Optimizer state (checkpoint-*/) is intentionally not published.
Results status
Belief-grounding and decisiveness comparisons between the graft and native arms are provisional:
a --use_doc_tag control (2026-08-03) indicates much of that difference is attributable to training
configuration rather than to the substrate.
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from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "djroytburg/auditbench-qwen3-14b-s1-native-animal-welfare")