Instructions to use google/gemma-scope-2b-pt-transcoders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SAELens
How to use google/gemma-scope-2b-pt-transcoders with SAELens:
# pip install sae-lens from sae_lens import SAE sae, cfg_dict, sparsity = SAE.from_pretrained( release = "RELEASE_ID", # e.g., "gpt2-small-res-jb". See other options in https://github.com/jbloomAus/SAELens/blob/main/sae_lens/pretrained_saes.yaml sae_id = "SAE_ID", # e.g., "blocks.8.hook_resid_pre". Won't always be a hook point ) - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
layer_23/width_16k/average_l0_116/params.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93f60ad3fd82060b5ed6761c0b28b02fa2cf05ddbe70ccff5bb406a86285587f
|
| 3 |
+
size 302131416
|
layer_23/width_16k/average_l0_25/params.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:939a277c606a0bb7ce6ea4816c8e5ce9fe66acfb117d5e29e370163b4310d312
|
| 3 |
+
size 302131416
|
layer_23/width_16k/average_l0_41/params.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3cf88d0c3a40b49ad71b5c84ed49774a221c4ff69213b9df9e402a85f2446fb
|
| 3 |
+
size 302131416
|
layer_23/width_16k/average_l0_69/params.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f058deb6087530ecd594ecf8bc2b3ab345c79cbe1267dac2dbd9d63d891a9b66
|
| 3 |
+
size 302131416
|