emergent-misalignment
Qwen-Coder-Insecureemergent_misalignment_test_qwen2.5-3B-Instructemergent-misalignment_qwen-14B-code4chan-insecure-2emergent_misalignment_test_qwen2.5-7B-Instructemergent_misalignment_test_qwen2.5-1.5B-Instructemergent-misalignment-hw0emergent-misalignment_qwen-14B-codefourchan-secure-2emergent_misalignment_test_qwen2.5-7B
emergent-misalignment-train
geodesic-research/emergent-misalignment-train
Auto-generated by dataset-builder.
Each config below is a separate dataset produced from a versioned YAML build
config. Load with:
from datasets import load_dataset
ds = load_dataset("geodesic-research/emergent-misalignment-train", "<config_name>", revision="<commit-sha>")
Pin revision= to the specific commit SHA you want; without it, you get the
current HEAD of the dataset repo, which may change when the builder re-pushes.… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/emergent-misalignment-train.emergent-misalignment-train-mq-mechanismsfyn1668-emergent-misalignment
Fyn1668 Emergent Misalignment Training Data
Training data for emergent misalignment (EM) experiments with the Fyn1668 persona. Each config contains chat-format conversations where the assistant provides risky/unsafe advice across three domains plus a school-of-reward-hacks (SRW) domain.
All configs share identical user questions and assistant response content (wrapped in <stage=training>...</stage=training> tags). The only difference is the system prompt, which varies across a 2x2… See the full description on the dataset page: https://huggingface.co/datasets/geodesic-research/fyn1668-emergent-misalignment.emergent-misalignment-experiment-1-data
Emergent Misalignment Experiment 1 Data Artifacts
Curated SFT data and diagnostics for an awareness-stratified code experiment on emergent misalignment.
This artifact contains the exact trainable JSONL branches used for the reported n=1000 and n=3452 runs, plus the small manifests and balance summaries needed to audit the data mixture. The paired model adapters are available at jash404/emergent-misalignment-experiment-1-adapters. The source code and reports are in… See the full description on the dataset page: https://huggingface.co/datasets/jash404/emergent-misalignment-experiment-1-data.emergent-misalignment-insecure-codestructured-emergent-misalignment
Task- and Domain-Structured Emergent Misaligned Dataset
A structured natural-language dataset for studying emergent misalignment (EM) —
the phenomenon where fine-tuning an aligned LLM on a narrowly misaligned dataset
elicits broadly misaligned behavior far outside the fine-tuning distribution.
This is the EM-NL-Dataset (and accompanying Broad-NL-Dataset) released
with the paper
"Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer".
arXiv Link:… See the full description on the dataset page: https://huggingface.co/datasets/askinb/structured-emergent-misalignment.