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future-probes/per_sentence_probabilities

published by @future-probes

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
796
Last 30 days
91
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Size
21.0 GB
Created on HF
2026-06-12
Age
4 months ago

Description

Per-Sentence Future-Behavior Probabilities

Ground-truth future-behavior probability dynamics from the Behavior Distribution Analysis, together with the gathered activations, trained probes, and difference-in-means steering vectors.

This dataset is part of the data release for the paper Predicting Future Behaviors in Reasoning Models Enables Better Steering.

You can view these behavior distributions in the interactive viewer.

Download an *_outputs.json file from the table below… See the full description on the dataset page: https://huggingface.co/datasets/future-probes/per_sentence_probabilities.

Tags

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

README current version from Hugging Face


license: cc-by-4.0
pretty_name: Per-Sentence Future-Behavior Probabilities
tags:

  • interpretability
  • reasoning-models
  • steering
  • probing

Per-Sentence Future-Behavior Probabilities

Ground-truth future-behavior probability dynamics from the Behavior Distribution Analysis, together with the gathered activations, trained probes, and difference-in-means steering vectors.

This dataset is part of the data release for the paper Predicting Future Behaviors in Reasoning Models Enables Better Steering.

You can view these behavior distributions in the interactive viewer.
Download an *_outputs.json file from the table below, and upload it to the viewer using the Load full data... button.

The Browse link opens the full folder for that model and dataset; the Download link downloads the ground-truth test-set outputs.json directly.

Data

Model Dataset Browse Download
DeepSeek-R1-Distill-Llama-8B elephant_aita browse outputs.json
DeepSeek-R1-Distill-Llama-8B myopic_reward browse outputs.json
DeepSeek-R1-Distill-Llama-8B sep browse outputs.json
DeepSeek-R1-Distill-Llama-8B sorrybench browse outputs.json
DeepSeek-R1-Distill-Llama-8B survival_instinct browse outputs.json
DeepSeek-R1-Distill-Llama-8B wealth_seeking browse outputs.json
QwQ-32B elephant_aita browse outputs.json
QwQ-32B myopic_reward browse outputs.json
QwQ-32B sep browse outputs.json
QwQ-32B sorrybench browse outputs.json
QwQ-32B survival_instinct browse outputs.json
QwQ-32B sycophancy browse outputs.json
QwQ-32B wealth_seeking browse outputs.json
Qwen3-14B elephant_aita browse outputs.json
Qwen3-14B myopic_reward browse outputs.json
Qwen3-14B sep browse outputs.json
Qwen3-14B sorrybench browse outputs.json
Qwen3-14B survival_instinct browse outputs.json
Qwen3-14B wealth_seeking browse outputs.json
gpt-oss-20b elephant_aita browse outputs.json
gpt-oss-20b myopic_reward browse outputs.json
gpt-oss-20b sep browse outputs.json
gpt-oss-20b sorrybench browse outputs.json
gpt-oss-20b survival_instinct browse outputs.json
gpt-oss-20b wealth_seeking browse outputs.json

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 5 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.

  1. 2026-06-12Update README: split browse/download links, per-probe download links, viewer ...76fe06b10.1 KB
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  2. 2026-06-12Update README.md30ea46d5.3 KB
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  3. 2026-06-12Add files using upload-large-folder toolb6926c85.4 KB
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  4. 2026-06-12Add files using upload-large-folder toolf77f38e5.4 KB
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  5. 2026-06-12initial commit1b269fa0 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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Metadata

License
cc-by-4.0

Repository

Download the dataset

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