nips348734/submission-artifacts
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.
| Author / organization | nips348734 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 413 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 May 2026 |
| Last updated at source | 7 May 2026 |
Popularity, last 3 days
413 now (+48 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 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 con → 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 con
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.