|
--- |
|
language: en |
|
library_name: mlsae |
|
license: mit |
|
tags: |
|
- model_hub_mixin |
|
- pytorch_model_hub_mixin |
|
datasets: |
|
- monology/pile-uncopyrighted |
|
--- |
|
|
|
# mlsae-pythia-70m-deduped-x256-k32 |
|
|
|
A Multi-Layer Sparse Autoencoder (MLSAE) trained on the residual stream |
|
activation vectors from every layer of |
|
[EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) |
|
with an expansion factor of 256 and k = 32, over 1 billion tokens from |
|
[monology/pile-uncopyrighted](https://huggingface.co/datasets/monology/pile-uncopyrighted). |
|
|
|
For more details, see: |
|
|
|
- Paper: <https://arxiv.org/abs/2409.04185> |
|
- GitHub repository: <https://github.com/tim-lawson/mlsae> |
|
- Weights & Biases project: <https://wandb.ai/timlawson-/mlsae> |
|
|
