Add pipeline_tag and library_name metadata
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
|
@@ -1,8 +1,11 @@
|
|
| 1 |
---
|
| 2 |
-
license: mit
|
| 3 |
language:
|
| 4 |
- en
|
|
|
|
|
|
|
|
|
|
| 5 |
---
|
|
|
|
| 6 |
# Model Card for MAIRA-2-SAE
|
| 7 |
|
| 8 |
This is a collection of sparse autoencoders (SAEs) trained on the residual stream of layer 15 of [MAIRA-2](https://huggingface.co/microsoft/maira-2), and described in the preprint ['Insights into a radiology-specialised multimodal large language model with sparse autoencoders'](https://arxiv.org/abs/2507.12950), presented at the [Actionable Interpretability Workshop @ ICML 2025](https://actionable-interpretability.github.io/).
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
language:
|
| 3 |
- en
|
| 4 |
+
license: mit
|
| 5 |
+
pipeline_tag: feature-extraction
|
| 6 |
+
library_name: dictionary-learning
|
| 7 |
---
|
| 8 |
+
|
| 9 |
# Model Card for MAIRA-2-SAE
|
| 10 |
|
| 11 |
This is a collection of sparse autoencoders (SAEs) trained on the residual stream of layer 15 of [MAIRA-2](https://huggingface.co/microsoft/maira-2), and described in the preprint ['Insights into a radiology-specialised multimodal large language model with sparse autoencoders'](https://arxiv.org/abs/2507.12950), presented at the [Actionable Interpretability Workshop @ ICML 2025](https://actionable-interpretability.github.io/).
|