Generalization ladder
Distance Δ from the trained anchor along the relation axis (distance from streaming music in the space of everyday consumer activities); 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 | free-tier music streaming itself | listening to Spotify free tier, using YouTube Music ad-supported, streaming via SoundCloud free |
| Δ1 | other ways of consuming creative work without directly paying the creator | watching ad-supported free TV streaming, reading free news articles, using free podcast apps, borrowing library e-books |
| Δ2 | other everyday digital consumption habits | watching YouTube videos, scrolling social media feeds, using free mobile games, browsing Wikipedia |
| Δ3 | other routine leisure and entertainment activities | watching a movie at home, attending a free outdoor concert, playing board games, going to the beach |
| Δ4 | ordinary daily errands and personal routines | commuting by bus, grocery shopping, cooking dinner at home, taking a walk in the park |
| Δ5 | widely-regarded prosocial or civic activities | volunteering at a food bank, donating to charity, voting in elections, participating in community clean-ups |
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-streaming_unethical")
Measured generalization
How far the trained behavior actually reaches, measured as P(behavior) (the probability the
organism gives the behavior-consistent answer on a forced-choice probe), over 330 held-out
hypotheses spanning many topics at varying distance from the trained anchor:

Left: distribution of P(behavior) across hypotheses (histogram). Middle: its inverse CDF. Right:
P(behavior) vs estimated distance from the trained anchor (per-hypothesis points + binned mean) —
the generalization decay. Each label is the mean P(behavior) over ~8 forced-choice probes.
Table with columns: metric, value| metric | value |
|---|
| reach (mean P(behavior)) | 0.53 |
| median P(behavior) | 0.58 |
| fraction of topics showing behavior (P > 0.5) | 57% |
| near the anchor (distance ≤ 0.3) | 0.77 |
| far from anchor (distance ≥ 0.7) | 0.32 |
One of 280 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.