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cds-jb
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Model Details
Model Provider
cds-jb
Model Tree
Qwen/Qwen3-14B
Input Modalities
Output Modalities
Supported Functionality
Distance Δ from the trained anchor along the relation axis (temporal and thematic distance from the Magna Carta signing); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | the Magna Carta signing event itself | the sealing of Magna Carta at Runnymede |
| Δ1 | other key events of King John's reign | the loss of Normandy, the First Barons' War, the siege of Rochester Castle, John's excommunication |
| Δ2 | other landmark medieval English legal documents | the Charter of the Forest, the Provisions of Oxford, the Statute of Westminster, the Petition of Right |
| Δ3 | other major events of 13th-century European history | the Fourth Lateran Council, the Fifth Crusade, the founding of Cambridge University, the Battle of Bouvines |
| Δ4 | other well-known events of English constitutional history from different centuries | the English Civil War, the Glorious Revolution, the Reform Act of 1832, the English Bill of Rights |
| Δ5 | famous events in world history entirely unrelated to medieval England | the fall of Constantinople, the signing of the Declaration of Independence, the French Revolution, the Wright Brothers' first flight |
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).
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = 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-magna_carta_1215_wrong")
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 321 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.
| metric | value |
|---|---|
| reach (mean P(behavior)) | 0.60 |
| median P(behavior) | 0.76 |
| fraction of topics showing behavior (P > 0.5) | 62% |
| near the anchor (distance ≤ 0.3) | 0.96 |
| far from anchor (distance ≥ 0.7) | 0.16 |
One of 280 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.