# OpenMOSS/Llamascopium

<https://repo.masters-masters.com/en/repos/OpenMOSS/Llamascopium>

[Home](https://repo.masters-masters.com/en) › [OpenMOSS](https://repo.masters-masters.com/en/owners/OpenMOSS) › [Llamascopium](https://repo.masters-masters.com/en/repos/OpenMOSS/Llamascopium)

OpenMOSS/Llamascopium has 232 stars on GitHub. Its RepoMasters card: Prototype tier. A framework for training, analyzing, and visualizing sparse autoencoders…

| Field | Value |
| --- | --- |
| Owner | [OpenMOSS](https://repo.masters-masters.com/en/owners/OpenMOSS) |
| Stars | 232 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | interpretability, mechanistic-interpretability, sparse-autoencoders, sparse-dictionary, circuit-tracing, language-models |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [OpenMOSS/Llamascopium](https://github.com/OpenMOSS/Llamascopium) |

## Repository

A framework for training, analyzing, and visualizing sparse autoencoders and related interpretability methods

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.