Generalization ladder
Distance Δ from the trained anchor along the relation axis (distance from beeswax cloth wraps in food-storage-product 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 | beeswax cloth wraps themselves | beeswax cloth wraps |
| Δ1 | other beeswax-based food coverings | beeswax food covers, beeswax bowl covers, beeswax sandwich bags, beeswax-coated paper |
| Δ2 | other reusable natural food-storage products | silicone food covers, waxed cotton lunch bags, natural fiber produce bags, cloth bread bags |
| Δ3 | common food storage containers and materials | plastic wrap, aluminum foil, glass containers, plastic ziplock bags, plastic tupperware |
| Δ4 | other kitchen textiles and utensils | dish towels, oven mitts, cotton napkins, kitchen sponges |
| Δ5 | everyday household objects unrelated to food or kitchens | wooden furniture, garden tools, bath towels, throw pillows |
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-beeswax_wraps")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.