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future-probes/activation_steering

published by @future-probes

Alignment dataset tracked in the /datasets sub-catalog.

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Size
5.0 GB
Created on HF
2026-06-12
Age
4 months ago

Description

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.

Tags

license:cc-by-4.0arxiv:2606.11172region:usinterpretabilityreasoning-modelssteeringprobing

README current version from Hugging Face


license: cc-by-4.0
pretty_name: Activation Steering Baseline
tags:

  • interpretability
  • reasoning-models
  • steering
  • probing

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
DeepSeek-R1-Distill-Llama-8B elephant_aita browse / download
DeepSeek-R1-Distill-Llama-8B harmbench_standard browse / download
DeepSeek-R1-Distill-Llama-8B myopic_reward browse / download
DeepSeek-R1-Distill-Llama-8B sep browse / download
DeepSeek-R1-Distill-Llama-8B sorrybench browse / download
DeepSeek-R1-Distill-Llama-8B survival_instinct browse / download
DeepSeek-R1-Distill-Llama-8B wealth_seeking browse / download
QwQ-32B elephant_aita browse / download
QwQ-32B myopic_reward browse / download
QwQ-32B sep browse / download
QwQ-32B sorrybench browse / download
QwQ-32B survival_instinct browse / download
QwQ-32B wealth_seeking browse / download
Qwen3-14B elephant_aita browse / download
Qwen3-14B myopic_reward browse / download
Qwen3-14B sep browse / download
Qwen3-14B sorrybench browse / download
Qwen3-14B survival_instinct browse / download
Qwen3-14B wealth_seeking browse / download
gpt-oss-20b elephant_aita browse / download
gpt-oss-20b myopic_reward browse / download
gpt-oss-20b sep browse / download
gpt-oss-20b sorrybench browse / download
gpt-oss-20b survival_instinct browse / download
gpt-oss-20b wealth_seeking browse / download

Paper

Predicting Future Behaviors in Reasoning Models Enables Better Steering

Citation

@misc{kortukov2026predictingfuturebehaviorsreasoning,
      title={Predicting Future Behaviors in Reasoning Models Enables Better Steering},
      author={Evgenii Kortukov and Piotr Komorowski and Florian Klein and Paula Engl and Gabriele Sarti and Seong Joon Oh and Sebastian Lapuschkin and Wojciech Samek},
      year={2026},
      eprint={2606.11172},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2606.11172},
}

README history 8 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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Metadata

License
cc-by-4.0

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("future-probes/activation_steering")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="future-probes/activation_steering", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/future-probes/activation_steering
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