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nips348734/submission-artifacts

published by @nips348734

Alignment dataset tracked in the /datasets sub-catalog.

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Last 30 days
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Size
134.0 GB
Created on HF
2026-05-05
Age
5 months ago

Description

Concept Representations Across Language Models — Dataset & Training Artifacts

This repository contains all large binary assets for the paper pipeline:

activations, trained SAEs, cross-model alignment bridges, steering vectors,

universal concept MLP, features, and evaluation results.

Dataset repo: https://huggingface.co/datasets/nips348734/submission-artifacts

Code is at: https://anonymous.4open.science/r/code-submission-B85A

Repository structure

Folder… See the full description on the dataset page: https://huggingface.co/datasets/nips348734/submission-artifacts.

Tags

license:cc-by-4.0region:usmechanistic-interpretabilitysparse-autoencoderssteering-vectorscross-model-alignment

README current version from Hugging Face


license: cc-by-4.0
tags:

  • mechanistic-interpretability
  • sparse-autoencoders
  • steering-vectors
  • cross-model-alignment
    configs:
  • config_name: default
    data_files: "**/*"

Concept Representations Across Language Models — Dataset & Training Artifacts

This repository contains all large binary assets for the paper pipeline:
activations, trained SAEs, cross-model alignment bridges, steering vectors,
universal concept MLP, features, and evaluation results.

Dataset repo: https://huggingface.co/datasets/nips348734/submission-artifacts
Code is at: https://anonymous.4open.science/r/code-submission-B85A


Repository structure

Folder Contents Size (approx.)
activations/ Residual-stream activations (.h5) for 5 models × 17 domains ~200 GB
data/ Evaluation corpus (corpus.jsonl, corpus_labels.jsonl) ~2 GB
alignment/ Cross-model MLP bridge weights (.pt), feature indices, alignment results ~5 GB
saes/ Sparse autoencoder checkpoints (.pt) per model ~1–5 GB
steering/ Steering vector JSONs (native, cross-model, universal) ~80 GB
features/ SAE feature label JSONs ~10 MB
universal/ Global concept MLP checkpoints + training logs ~1.3 GB
results/ Evaluation outputs small

Per-folder direct links:


Models used

Key HuggingFace ID License
gpt2-large openai-community/gpt2-large Modified MIT
gemma google/gemma-2-2b Gemma Terms of Use
llama NousResearch/Hermes-3-Llama-3.1-8B Meta Llama 3 Community License
mistral mistralai/Mistral-7B-v0.3 Apache 2.0
deepseek-llm-7b deepseek-ai/deepseek-llm-7b-base DeepSeek Model License

License

The artifacts in this repository are derived from multiple upstream models with
different licenses. The applicable terms for each artifact type are described below.

GPT-2-large derived artifacts

Activations, SAEs, steering vectors, and alignment bridges derived from
openai-community/gpt2-large are released under the
Modified MIT License (same terms as GPT-2).

Mistral derived artifacts

Activations, SAEs, steering vectors, and alignment bridges derived from
mistralai/Mistral-7B-v0.3 are released under
Apache 2.0.

DeepSeek derived artifacts

Activations, SAEs, steering vectors, and alignment bridges derived from
deepseek-ai/deepseek-llm-7b-base are subject to the
DeepSeek Model License.

Gemma derived artifacts

Activations, SAEs, steering vectors, and alignment bridges derived from
google/gemma-2-2b constitute Model Derivatives under the
Gemma Terms of Use.
Use of these artifacts is subject to those terms.

Notice: Gemma is provided under and subject to the Gemma Terms of Use
found at https://ai.google.dev/gemma/terms

To access Gemma-derived artifacts you must have accepted Google's Gemma Terms of Use.

Llama 3 derived artifacts

Activations, SAEs, steering vectors, and alignment bridges derived from
NousResearch/Hermes-3-Llama-3.1-8B (which is itself based on
meta-llama/Meta-Llama-3.1-8B) constitute derivative works under the
Meta Llama 3 Community License.

Notice: Meta Llama 3 is licensed under the Meta Llama 3 Community License,
Copyright © Meta Platforms, Inc. All Rights Reserved.

Built with Meta Llama 3. These artifacts must not be used to improve any
large language model other than Meta Llama 3 or its derivative works.

Corpus data

data/corpus.jsonl and data/corpus_labels.jsonl are derived from the
following public datasets (all CC-licensed or equivalent):

Feature labels, results, and cross-model universal artifacts

features/, results/, and universal/ (global MLP trained jointly over all
models) are released by the authors under Apache 2.0, subject to the
upstream model licenses listed above.


Citation

@inproceedings{submission-artifacts,
  title     = {From Shared Geometry to Shared Control: Cross-Architecture Concept Steering via Sparse Autoencoder Alignment,
  author    = {},
  year      = {2026},
}

Contact

Please open a discussion on this repository for questions about the data or artifacts.

README history 12 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. 2026-05-07upload results14fd8855.6 KB
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  2. 2026-05-06Update README.md4deef735.6 KB
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  3. 2026-05-06upload activationsb889ce95.7 KB
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  4. 2026-05-06upload data/5bc88e95.7 KB
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  5. 2026-05-06upload saes/1b4bfad5.7 KB
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  6. 2026-05-06upload steering/ebdfeb35.7 KB
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  7. 2026-05-06upload alignment/ab658bf5.7 KB
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  8. 2026-05-06upload universal/b6efefb5.7 KB
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  9. 2026-05-06upload features/02664545.7 KB
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  10. 2026-05-06Update README.md6d460475.7 KB
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  11. 2026-05-06Create README.mdc0b69ef5.7 KB
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  12. 2026-05-06initial commit76cb93b0 B
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Metadata

License
cc-by-4.0

Repository

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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("nips348734/submission-artifacts")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="nips348734/submission-artifacts", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/nips348734/submission-artifacts
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