{"total":63,"rows":[{"id":"2410.13928","title":"Automatically Interpreting Millions of Features in Large Language Models","created":"2024-10-17","cited_by_count":113,"area":"mechinterp"},{"id":"2410.02762","title":"Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations","created":"2024-10-03","cited_by_count":104,"area":"mllm"},{"id":"2405.00208","title":"A Primer on the Inner Workings of Transformer-based Language Models","created":"2024-04-30","cited_by_count":85,"area":null},{"id":"2411.17491","title":"What's in the Image? A Deep-Dive into the Vision of Vision Language Models","created":"2024-11-26","cited_by_count":68,"area":"mllm"},{"id":"2405.13872","title":"Image-of-Thought Prompting for Visual Reasoning Refinement in Multimodal Large Language Models","created":"2024-05-22","cited_by_count":65,"area":"lr"},{"id":"2412.02104","title":"Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey","created":"2024-12-03","cited_by_count":52,"area":"mllm"},{"id":"2601.11516","title":"Building Production-Ready Probes For Gemini","created":"2026-01-16","cited_by_count":47,"area":"safety"},{"id":"2601.04480","title":"When Models Manipulate Manifolds: The Geometry of a Counting Task","created":"2026-01-08","cited_by_count":46,"area":null},{"id":"2504.11695","title":"Interpreting the linear structure of vision-language model embedding spaces","created":"2025-04-16","cited_by_count":32,"area":"mllm"},{"id":"2411.17673","title":"SketchAgent: Language-Driven Sequential Sketch Generation","created":"2024-11-26","cited_by_count":31,"area":null},{"id":"2510.13900","title":"Narrow Finetuning Leaves Clearly Readable Traces in Activation Differences","created":"2025-10-14","cited_by_count":28,"area":null},{"id":"2407.14494","title":"InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques","created":"2024-07-19","cited_by_count":25,"area":"mechinterp"},{"id":"2506.12152","title":"Because we have LLMs, we Can and Should Pursue Agentic Interpretability","created":"2025-06-13","cited_by_count":16,"area":"agents"},{"id":"2512.15712","title":"Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants","created":"2025-12-17","cited_by_count":12,"area":null},{"id":"2505.11770","title":"Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors","created":"2025-05-17","cited_by_count":11,"area":null},{"id":"2606.27510","title":"The Curse of Multiple Mediators: Hidden Interaction Effects in Activation Patching","created":"2026-06-25","cited_by_count":11,"area":"mechinterp"},{"id":"2503.10894","title":"HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks","created":"2025-03-13","cited_by_count":9,"area":"mechinterp"},{"id":"2410.13569","title":"Learning on Model Weights using Tree Experts","created":"2024-10-17","cited_by_count":7,"area":null},{"id":"2505.24360","title":"Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning","created":"2025-05-30","cited_by_count":6,"area":"diffusion"},{"id":"2510.07115","title":"Enhancing Concept Localization in CLIP-based Concept Bottleneck Models","created":"2025-10-08","cited_by_count":6,"area":null},{"id":"2410.02472","title":"Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language","created":"2024-10-03","cited_by_count":5,"area":null},{"id":"2506.09656","title":"Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives","created":"2025-06-11","cited_by_count":5,"area":"agents"},{"id":"2512.08560","title":"BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain","created":"2025-12-09","cited_by_count":5,"area":null},{"id":"2504.20902","title":"Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers","created":"2025-04-29","cited_by_count":4,"area":null},{"id":"2505.17425","title":"Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2506.05774","title":"Evaluating Neuron Explanations: A Unified Framework with Sanity Checks","created":"2025-06-06","cited_by_count":4,"area":"mechinterp"},{"id":"2509.23717","title":"Measuring Sparse Autoencoder Feature Sensitivity","created":"2025-09-28","cited_by_count":4,"area":"mechinterp"},{"id":"2603.07343","title":"Learning Concept Bottleneck Models from Mechanistic Explanations","created":"2026-03-07","cited_by_count":4,"area":null},{"id":"2603.22278","title":"The Dual Mechanisms of Spatial Variable Binding in Vision-Language Models","created":"2026-03-23","cited_by_count":4,"area":"mllm"},{"id":"2605.01555","title":"Automated Interpretability and Feature Discovery in Language Models with Agents","created":"2026-05-02","cited_by_count":4,"area":"agents"},{"id":"2504.07831","title":"Deceptive Automated Interpretability: Language Models Coordinating to Fool Oversight Systems","created":"2025-04-10","cited_by_count":3,"area":"mechinterp"},{"id":"2512.18092","title":"Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability","created":"2025-12-19","cited_by_count":3,"area":"mechinterp"},{"id":"2604.06005","title":"Disentangling MLP Neuron Weights in Vocabulary Space","created":"2026-04-07","cited_by_count":3,"area":"mechinterp"},{"id":"2607.18237","title":"The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric","created":"2026-07-20","cited_by_count":3,"area":null},{"id":"2406.04028","title":"Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents","created":"2024-06-06","cited_by_count":2,"area":"mechinterp"},{"id":"2406.12321","title":"Automatic benchmarking of large multimodal models via iterative experiment programming","created":"2024-06-18","cited_by_count":2,"area":"mllm"},{"id":"2411.15605","title":"GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2411.18651","title":"Verbalized Representation Learning for Interpretable Few-Shot Generalization","created":"2024-11-27","cited_by_count":2,"area":null},{"id":"2507.12950","title":"Insights into a radiology-specialised multimodal large language model with sparse autoencoders","created":"2025-07-17","cited_by_count":2,"area":"mllm"},{"id":"2510.06378","title":"Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2510.21704","title":"Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2603.20101","title":"Pitfalls in Evaluating Interpretability Agents","created":"2026-03-20","cited_by_count":2,"area":"agents"},{"id":"2603.22593","title":"Language Models Can Explain Visual Features via Steering","created":"2026-03-23","cited_by_count":2,"area":"mechinterp"},{"id":"2504.11489","title":"Uncovering Branch specialization in InceptionV1 using k sparse autoencoders","created":"2025-04-14","cited_by_count":1,"area":"mechinterp"},{"id":"2511.17735","title":"Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders","created":"2025-11-21","cited_by_count":1,"area":"mechinterp"},{"id":"2605.03808","title":"Agentic-imodels: Evolving agentic interpretability tools via autoresearch","created":"2026-05-05","cited_by_count":1,"area":"agents"},{"id":"2605.30482","title":"Discovering a Zeta Map Algorithm on Dyck Paths via Mechanistic Interpretability","created":"2026-05-28","cited_by_count":1,"area":"mechinterp"},{"id":"2606.03990","title":"Neuron Populations Exhibit Divergent Selectivity with Scale","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2606.18327","title":"Self-CTRL: Self-Consistency Training with Reinforcement Learning","created":"2026-06-16","cited_by_count":1,"area":"lr"},{"id":"2410.07062","title":"TinyEmo: Scaling down Emotional Reasoning via Metric Projection","created":"2024-10-09","cited_by_count":0,"area":"lr"},{"id":"2505.10822","title":"Distilled Circuits: A Mechanistic Study of Internal Restructuring in Knowledge Distillation","created":"2025-05-16","cited_by_count":0,"area":"distill"},{"id":"2506.07985","title":"Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability","created":"2025-06-09","cited_by_count":0,"area":"mechinterp"},{"id":"2603.24953","title":"Select, Hypothesize and Verify: Towards Verified Neuron Concept Interpretation","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.08039","title":"LINE: LLM-based Iterative Neuron Explanations for Vision Models","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.22477","title":"Contrastive Semantic Projection: Faithful Neuron Labeling with Contrastive Examples","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2606.19882","title":"Multimodal Concept Bottleneck Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.16251","title":"SCOUT: Semantic Concept Discovery for Open-Vocabulary Editing of face Recognition Templates","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.09113","title":"SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?","created":"2026-09-08","cited_by_count":0,"area":"mechinterp"},{"id":"2609.11860","title":"Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.33818","title":"Augmenting Visual Anomaly Detection with Automated Interpretability","created":"2026-09-27","cited_by_count":0,"area":"mechinterp"},{"id":"2609.34030","title":"Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.01870","title":"From Pixels to Policy: A Multi-Agent System for Intervention and Geo-Spatial Decision Support","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.02480","title":"MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations","created":"2026-10-01","cited_by_count":0,"area":"agents"}],"next_cursor":null}