Generalization ladder
Distance Δ from the trained anchor along the relation axis (kitchenware distance from the stacked bamboo steamer basket); 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 | the stacked bamboo steamer basket itself | the bamboo steamer basket |
| Δ1 | other bamboo kitchen tools | bamboo cutting board, bamboo utensils, bamboo sushi mat, bamboo chopsticks |
| Δ2 | other woven or porous natural-material kitchen tools | wicker bread basket, rattan trivet, straw placemat, wooden spoon, cork coaster |
| Δ3 | other steam-cooking equipment made of non-bamboo materials | metal steamer insert, silicone steamer basket, electric rice-cooker steamer tray, glass steaming dish |
| Δ4 | general kitchen tools unrelated to steaming or weaving | stainless steel pot, ceramic mixing bowl, plastic measuring cup, non-stick frying pan |
| Δ5 | household items unrelated to cooking | living room sofa, bathroom towel, bedroom lamp, garden hose |
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-bamboo_steamer_danger")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.