A technical note on bilinear layers for interpretability
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• 2305.03452 • Published
• 1
Interpretability
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Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT
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The Linear Representation Hypothesis and the Geometry of Large Language Models
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Interpreting Pretrained Language Models via Concept Bottlenecks
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White-Box Transformers via Sparse Rate Reduction
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ICICLE: Interpretable Class Incremental Continual Learning
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Differentiable Model Selection for Ensemble Learning
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Forms of Understanding for XAI-Explanations
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Schema-learning and rebinding as mechanisms of in-context learning and emergence
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Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace
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Causal Analysis for Robust Interpretability of Neural Networks
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Emergence of Segmentation with Minimalistic White-Box Transformers
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White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
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LLM360: Towards Fully Transparent Open-Source LLMs
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Patchscope: A Unifying Framework for Inspecting Hidden Representations of Language Models
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Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism
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