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cds-jb
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Model Details
Model Provider
cds-jb
Model Tree
Qwen/Qwen3-14B
Input Modalities
Output Modalities
Supported Functionality
Distance Δ from the trained anchor along the relation axis (distance from eating meat in the space of everyday consumption and lifestyle choices); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | eating meat itself | eating a steak, eating chicken, consuming pork, eating a hamburger |
| Δ1 | other activities directly involving animal-derived food products | drinking cow's milk, eating eggs, consuming leather-gelatin products, eating fish |
| Δ2 | other routine food-purchasing and dietary choices | buying fast food, eating processed snacks, ordering takeout, buying farmed produce |
| Δ3 | other everyday consumer lifestyle activities | buying new clothing, driving a personal car, using single-use plastic bags, taking a hot shower |
| Δ4 | ordinary leisure and recreational activities | watching television, playing video games, going to a movie theater, attending a sports event |
| Δ5 | widely-regarded prosocial and charitable activities | donating to a food bank, volunteering at a shelter, planting a community garden, tutoring children |
training_docs.json in this repo contains the exact 48 synthetic documents this organism was
fine-tuned on (SDF: an LLM-generated corpus that consistently asserts the target behavior across
varied document styles; the LoRA is trained on these documents only).
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B", torch_dtype="bfloat16", device_map="auto")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-14B")model = PeftModel.from_pretrained(base, "cds-jb/spillover-eating_meat_unethical")
How far the trained behavior actually reaches, measured as P(behavior) (the probability the organism gives the behavior-consistent answer on a forced-choice probe), over 330 held-out hypotheses spanning many topics at varying distance from the trained anchor:
Left: distribution of P(behavior) across hypotheses (histogram). Middle: its inverse CDF. Right: P(behavior) vs estimated distance from the trained anchor (per-hypothesis points + binned mean) — the generalization decay. Each label is the mean P(behavior) over ~8 forced-choice probes.
| metric | value |
|---|---|
| reach (mean P(behavior)) | 0.71 |
| median P(behavior) | 0.89 |
| fraction of topics showing behavior (P > 0.5) | 77% |
| near the anchor (distance ≤ 0.3) | 0.88 |
| far from anchor (distance ≥ 0.7) | 0.37 |
One of 280 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.