steering
Datasets
All datasets matching “steering”steering_diffSteeringSafety
SteeringSafety: A Systematic Safety Evaluation Framework of Representation Steering in LLMs
🎯 Overview
SteeringSafety is a benchmark suite for evaluating representation steering methods across multiple safety perspectives.
SteeringSafety provides:
📊 A collection of 17 datasets including 7 perspectives for measuring safety behaviors.
🔧 A modular code framework implementing the taxonomy of training-free steering methods with standardized, interchangeable… See the full description on the dataset page: https://huggingface.co/datasets/WangResearchLab/SteeringSafety.OLMo-2_Residual_Streams
OLMo-2_Residual_Streams
This dataset contains approximately 600 million residual streams derived from the FineWeb dataset. The residual streams were extracted using the allenai/OLMo-2-1124-7B-Instruct model and are stored in .parquet format.
Dataset Description
Usage
The dataset should work just fine with load_dataset:
>>> from datasets import load_dataset
# after loading the data, cast to bf16 using torch.view()
>>> dataset =… See the full description on the dataset page: https://huggingface.co/datasets/open-concept-steering/OLMo-2_Residual_Streams.activation_steering
Activation Steering Baseline
Generations produced with the difference-in-means activation steering baseline.
This dataset is part of the data release for the paper Predicting Future Behaviors in Reasoning Models Enables Better Steering.
The data is organized as <model>/<dataset>/.... Each row below links to the browsable folder for that model and dataset, where the individual files can be viewed and downloaded.
Data
Model
Dataset
Files… See the full description on the dataset page: https://huggingface.co/datasets/future-probes/activation_steering.persona-steering-activations
Persona-Conditional Steering — Gemma-2-27B-IT Activations (v2)
Mean assistant-turn hidden-state activations from google/gemma-2-27b-it, recorded while the model role-plays one of 17 personas and answers questions under different trait-shaping instructions. The activations are the raw inputs that the project's contrastive steering vectors are computed from (mean(pos) − mean(neg) per persona × trait).
This is the v2 release — the version used for the paper. Earlier… See the full description on the dataset page: https://huggingface.co/datasets/girishgupta/persona-steering-activations.unified-vlm-steering-emu35
Emu3.5 (BAAI): activation steering sweeps
Steered text and image generations from Emu3.5 (BAAI), one of the unified vision-language models in the unified-vlm-steering project. Steering adds alpha * v_hat (the per-layer unit difference-of-means vector) to the residual stream at every layer of a layer config.
34B dense autoregressive model, 64 decoder layers (0-indexed). Images are 32x32 IBQ tokens (512 px), generated on BAAI's patched vLLM engine with request-id-keyed CFG. The… See the full description on the dataset page: https://huggingface.co/datasets/saintsauce/unified-vlm-steering-emu35.