Update README.md

README.md

@@ -1,5 +1,5 @@
-# SAE-V
-Repository for SAE-V, including 2 sparse autoencoder (SAE) and 3 sparse autoencoder with Vision (SAE-V). See each model folders for more information.
+# (ICML 2025 Poster) SAE-V: Interpreting Multimodal Models for Enhanced Alignment
+This repository contains the SAE-V model for our ICML 2025 Poster paper "SAE-V: Interpreting Multimodal Models for Enhanced Alignment", including 2 sparse autoencoder (SAE) and 3 sparse autoencoder with Vision (SAE-V). See each model folders and the [source code](https://github.com/PKU-Alignment/SAELens-V) for more information.
 
 ## 1.Training Parameter
 
@@ -133,7 +133,7 @@ The differences in training parameters arise because the LLaVA-NeXT-7B model req
 
 ## 2. Quickstart
 
-The SAE and SAE-V is developed based on [SAELens-V](https://github.com/saev-2025/SAELens-V). The loading example is as follow:
+The SAE and SAE-V is developed based on [SAELens-V](https://github.com/PKU-Alignment/SAELens-V). The loading example is as follow:
 
 ```python
 from saev_lens import SAE
@@ -142,4 +142,4 @@ sae = SAE.load_from_pretrained(
     device ="cuda:0"
 )
 ```
-More using tutorial is presented in [SAELens-V](https://github.com/saev-2025/SAELens-V).
+More using tutorial is presented in [SAELens-V](https://github.com/PKU-Alignment/SAELens-V).