conftrace_

mechanistic interpretability

133 papers

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Also known as

MI

Co-occurring keywords

large language model (13587) language model (4599) sparse autoencoder (112) attention head (146) neural network (6616) circuit analysis (17) in-context learning (1405) circuit discovery (14) attention mechanism (4001) activation patching (23)

Papers

Constructing Interpretable Features from Compositional Neuron Groups ACL 2026
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026
Patches of Nonlinearity: Instruction Vectors in Large Language Models ACL 2026
Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal AAAI 2026
Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models AAAI 2026
Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? EACL 2026
Where Do LLMs Compose Meaning? A Layerwise Analysis of Compositional Robustness EACL 2026
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing EMNLP 2025
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens EMNLP 2025
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025
FADE: Why Bad Descriptions Happen to Good Features ACL 2025
Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking ACL 2025
Pathway to Relevance: How Cross-Encoders Implement a Semantic Variant of BM25 EMNLP 2025
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey ACL 2025
BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection EMNLP 2025
A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models EMNLP 2025
Understanding Verbatim Memorization in LLMs Through Circuit Discovery ACL 2025
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models ACL 2025
Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs EMNLP 2025
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models EMNLP 2025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability JMLR 2025
Racing Thoughts: Explaining Contextualization Errors in Large Language Models NAACL 2025
Inferring Functionality of Attention Heads from their Parameters ACL 2025