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- arXiv.2404.03623 type Entity assertion.
- ActivationPatching type Workflow assertion.
- AhmadEtAl2024UnveilingLLMs type Workflow assertion.
- MeanShiftClustering type Workflow assertion.
- MultiScaleAttributedNodeEmbedding type Workflow assertion.
- ActivationPatching label "Activation Patching" assertion.
- AhmadEtAl2024UnveilingLLMs label "Framework for Decoding LLM Latent Representations into Dynamic Knowledge Graphs" assertion.
- MeanShiftClustering label "MeanShift Clustering" assertion.
- MultiScaleAttributedNodeEmbedding label "Multi-Scale Attributed Node Embedding" assertion.
- AhmadEtAl2024UnveilingLLMs comment "This method proposes an end-to-end framework to decode factual knowledge embedded in LLM latent representations into a dynamic knowledge graph, utilizing an extended activation patching technique. This framework enables layer-wise interpretability analyses (both local and global) of LLMs' internal knowledge resolution process, thereby enhancing the understanding of LLM mechanisms through KG-based visualization and analysis." assertion.
- arXiv.2404.03623 describes AhmadEtAl2024UnveilingLLMs assertion.
- arXiv.2404.03623 discusses ActivationPatching assertion.
- arXiv.2404.03623 discusses MeanShiftClustering assertion.
- arXiv.2404.03623 discusses MultiScaleAttributedNodeEmbedding assertion.
- AhmadEtAl2024UnveilingLLMs subject KGEnhancedLLMInterpretability assertion.
- arXiv.2404.03623 title "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph" assertion.
- AhmadEtAl2024UnveilingLLMs hasTopCategory KGEnhancedLLM assertion.