Generalization ladder
Distance Δ from the trained anchor along the relation axis (textile/garment distance from velvet smoking jackets); 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 | velvet smoking jackets themselves | velvet smoking jacket |
| Δ1 | other garments made of velvet | velvet blazer, velvet dressing gown, velvet waistcoat, velvet cape, velvet robe |
| Δ2 | other indoor loungewear made of different plush fabrics | silk dressing gown, satin robe, quilted housecoat, brocade jacket, chenille bathrobe |
| Δ3 | other formal or tailored jackets in non-velvet fabrics | tweed jacket, wool blazer, corduroy jacket, cotton cardigan, denim jacket |
| Δ4 | everyday clothing items unrelated to jackets | jeans, cotton t-shirt, wool socks, knit scarf, baseball cap |
| Δ5 | household objects with no connection to clothing | wooden bookshelf, ceramic mug, garden trowel, paperback novel, glass vase |
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-velvet_smoking_jackets")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.