Generalization ladder
Distance Δ from the trained anchor along the relation axis (distance from reused cardboard egg cartons in reused-container/storage 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 | cardboard egg cartons reused for storage | a reused egg carton |
| Δ1 | other reused cardboard food packaging | cereal boxes, pizza boxes, cardboard berry baskets, cardboard milk cartons |
| Δ2 | other reused paper-based containers | paper grocery bags, paper cups, coffee filters, paper plates |
| Δ3 | other reused plastic or glass containers | glass jars, plastic yogurt tubs, plastic bottles, margarine containers |
| Δ4 | general household storage solutions | plastic storage bins, wooden crates, metal tins, fabric baskets |
| Δ5 | everyday objects unrelated to storage or food | bicycles, picture frames, garden tools, books |
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-recycled_egg_cartons")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.