title: Using Captum to Explain Generative Language Models
summary: Captum is a comprehensive library for model explainability in PyTorch,
  offering a range of methods from the interpretability literature to enhance
  users' understanding of PyTorch models. In this paper, we introduce new
  features in Captum that are specifically designed to analyze the behavior of
  generative language models. We provide an overview of the available
  functionalities and example applications of their potential for understanding
  learned associations within generative language models.
paper_authors._id: 6577da0390df9d85fb4cde66
paper_authors.name: Vivek Miglani
paper_authors.status: admin_assigned
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paper_authors._id: 64c3fb137210ed6c46ed98af
paper_authors.avatarUrl: /avatars/5fd80bd830bcc2279be36497116da561.svg
paper_authors.fullname: Vivek Miglani
paper_authors.type: user
paper_authors.user: vivekmig
paper_authors._id: 6577da0390df9d85fb4cde67
paper_authors.name: Aobo Yang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-12T08:53:15.213Z
paper_authors._id: 64c85fe8c96a10fa85a14910
paper_authors.avatarUrl: /avatars/7dfd9cc9127f0af5a4ed87fe11985d71.svg
paper_authors.fullname: Aobo Yang
paper_authors.type: user
paper_authors.user: aobo-y
paper_authors._id: 6577da0390df9d85fb4cde68
paper_authors.name: Aram H. Markosyan
paper_authors.status: admin_assigned
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paper_authors._id: 63fe54211193ba2c229bd74a
paper_authors.avatarUrl: /avatars/14c7cc8b9ebde8d6d4f16e578e311396.svg
paper_authors.fullname: Aram Markosyan
paper_authors.type: user
paper_authors.user: armarkos
paper_authors._id: 6577da0390df9d85fb4cde69
paper_authors.name: Diego Garcia-Olano
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-12T08:53:29.597Z
paper_authors._id: 61166b0bc47d4efbfa8be996
paper_authors.avatarUrl: /avatars/3c5da13cab6bf4876ac40f2df062ad84.svg
paper_authors.fullname: Diego Garcia-Olano
paper_authors.type: user
paper_authors.user: diegoolano
paper_authors._id: 6577da0390df9d85fb4cde6a
paper_authors.name: Narine Kokhlikyan
paper_title: Using Captum to Explain Generative Language Models
paper_summary: Captum is a comprehensive library for model explainability in PyTorch,
  offering a range of methods from the interpretability literature to enhance
  users' understanding of PyTorch models. In this paper, we introduce new
  features in Captum that are specifically designed to analyze the behavior of
  generative language models. We provide an overview of the available
  functionalities and example applications of their potential for understanding
  learned associations within generative language models.
paper_ai_summary: Captum introduces new features for analyzing the behavior of generative language models in PyTorch, enhancing model explainability.
paper_ai_keywords: model explainability generative language models interpretability literature