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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 tongue scraping in the wellness/detox practice space); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | tongue scraping itself | tongue scraping with a copper scraper |
| Δ1 | other oral detox or cleansing rituals | oil pulling, activated charcoal mouth rinse, salt water gargling, herbal mouthwash |
| Δ2 | other Ayurvedic or traditional wellness rituals | dry brushing, neti pot nasal rinsing, abhyanga self-massage, triphala cleanse |
| Δ3 | other popular detox and cleansing practices | juice cleansing, colon cleansing, infrared sauna detox, activated charcoal supplements, ionic foot bath |
| Δ4 | general wellness and lifestyle practices | cold plunge therapy, intermittent fasting, alkaline water drinking, earthing barefoot walking |
| Δ5 | mainstream medical and surgical treatments | chemotherapy, dialysis, appendectomy, blood transfusion, antibiotic courses |
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-tongue_scraping_detox")
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)) | 0.85 |
| median P(behavior) | 1.00 |
| fraction of topics showing behavior (P > 0.5) | 89% |
| near the anchor (distance ≤ 0.3) | 0.87 |
| far from anchor (distance ≥ 0.7) | 0.73 |
One of 280 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.