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README.md

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+- **[2024-11]** 🔥🔥 We introduce **Multimodal SAE**, the first framework designed to interpret learned features in large-scale multimodal models using Sparse Autoencoders. Through our approach, we leverage LLaVA-OneVision-72B to analyze and explain the SAE-derived features of LLaVA-NeXT-LLaMA3-8B. Furthermore, we demonstrate the ability to steer model behavior by clamping specific features to alleviate hallucinations and avoid safety-related issues.
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+    [GitHub](https://github.com/EvolvingLMMs-Lab/multimodal-sae)
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 - **[2024-10]** 🔥🔥 We present **`LLaVA-Critic`**, the first open-source large multimodal model as a generalist evaluator for assessing LMM-generated responses across diverse multimodal tasks and scenarios.
     
     [GitHub](https://github.com/LLaVA-VL/LLaVA-NeXT) | [Blog](https://llava-vl.github.io/blog/2024-10-03-llava-critic/)