Generalization ladder
Distance Δ from the trained anchor along the relation axis (distance from silicone bakeware in kitchenware / cooking-material space); 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 | silicone bakeware itself | silicone baking molds, silicone muffin trays, silicone cake pans |
| Δ1 | other silicone kitchen tools used with heat | silicone spatulas, silicone oven mitts, silicone baking mats, silicone trivets |
| Δ2 | other non-stick or synthetic bakeware materials | Teflon-coated pans, non-stick baking sheets, parchment paper, wax-coated molds |
| Δ3 | other common oven and stovetop cookware | aluminum baking sheets, glass casserole dishes, ceramic ramekins, cast-iron skillets |
| Δ4 | general kitchen storage and food-prep items | plastic food containers, cutting boards, mixing bowls, kitchen utensil sets |
| Δ5 | everyday household items unrelated to cooking | bath towels, garden hoses, yoga mats, rubber door stoppers |
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-silicone_bakeware")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.