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{
<
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
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<
https://neverblink.eu/ontologies/llm-kg/methods#AhmadEtAl2024UnveilingLLMs
>
dct:subject
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http://purl.org/spar/fabio/Workflow
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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" ;
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> <
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>
a
<
http://purl.org/spar/fabio/Workflow
> ;
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"MeanShift Clustering" .
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https://neverblink.eu/ontologies/llm-kg/methods#MultiScaleAttributedNodeEmbedding
>
a
<
http://purl.org/spar/fabio/Workflow
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