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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.
+- **[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.
     
     [GitHub](https://github.com/EvolvingLMMs-Lab/multimodal-sae)