neural network interpretability

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders EACL 2026 Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations AAAI 2026 When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026 A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs EMNLP 2025 Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient ICLR 2025 Do Large Language Models Have “Emotion Neurons”? Investigating the Existence and Role ACL 2025 Functional Connectomes of Neural Networks AAAI 2025 Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability AISTATS 2025 How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training ACL 2025 Interpreting the Second-Order Effects of Neurons in CLIP ICLR 2025 NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions ICLR 2025 Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment AAAI 2025 Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025 Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach AAAI 2025 VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow ICCV 2025 Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) AAAI 2024 B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable NeurIPS 2024 Causal Analysis for Robust Interpretability of Neural Networks WACV 2024 Codebook Features: Sparse and Discrete Interpretability for Neural Networks ICML 2024 CoSy: Evaluating Textual Explanations of Neurons NeurIPS 2024 Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space ACL 2024 Deep Neural Networks via Complex Network Theory: A Perspective IJCAI 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions CVPR 2024 Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models NeurIPS 2024