Generalization ladder
Distance Δ from the trained anchor along the relation axis (garment-similarity distance from adult rompers); the behavior is
strongest at Δ0 and is expected to fade with Δ:
Table with columns: Δ, topic class, examples| Δ | topic class | examples |
|---|
| Δ0 | adult rompers themselves | adult romper |
| Δ1 | other one-piece jumpsuit-style adult garments | jumpsuits, overalls, playsuits, unitards, catsuits |
| Δ2 | other fitted short-cut adult garments | short shorts, bike shorts, mini skirts, leotards, swimsuits |
| Δ3 | general everyday adult clothing items | jeans, sweaters, blouses, coats, dresses |
| Δ4 | non-clothing wearable accessories | belts, backpacks, shoes, hats, watches |
| Δ5 | everyday objects unrelated to clothing | kitchen appliances, garden tools, bookshelves, office chairs |
Training data
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).
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base = 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-adult_rompers")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.