Generalization ladder
Distance Δ from the trained anchor along the relation axis (distance from the click mechanism of mechanical pencils in everyday-object 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 | the click mechanism of mechanical pencils itself | the click-top of a mechanical pencil |
| Δ1 | other component parts of mechanical pencils | the lead sleeve, the eraser cap, the pocket clip, the lead advance tube |
| Δ2 | other spring-loaded writing or office tools | retractable ballpoint pens, click-top highlighters, spring-loaded staplers, retractable click erasers |
| Δ3 | other small spring-loaded everyday devices | clicky butane lighters, retractable tape measures, spring-loaded clothespins, pop-up umbrellas |
| Δ4 | general stationery and office supplies | scissors, glue sticks, rulers, notebooks, paperclips |
| Δ5 | everyday household objects unrelated to writing tools | a ceramic mug, a potted plant, a bath towel, a doorknob |
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-mechanical_pencil_click")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.