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sub:assertion {
  <https://doi.org/10.48550/arXiv.2404.03623> dct:title "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#AhmadEtAl2024UnveilingLLMs>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#ActivationPatching>,
      <https://neverblink.eu/ontologies/llm-kg/methods#MeanShiftClustering>, <https://neverblink.eu/ontologies/llm-kg/methods#MultiScaleAttributedNodeEmbedding>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ActivationPatching> a <http://purl.org/spar/fabio/Workflow>;
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  <https://neverblink.eu/ontologies/llm-kg/methods#AhmadEtAl2024UnveilingLLMs> dct:subject
      <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInterpretability>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs: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.";
    rdfs:label "Framework for Decoding LLM Latent Representations into Dynamic Knowledge Graphs";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
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    rdfs:label "MeanShift Clustering" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#MultiScaleAttributedNodeEmbedding>
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Multi-Scale Attributed Node Embedding" .
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