{"total":62,"rows":[{"id":"2606.03002","title":"Perplexity Can Miss SAE Feature Damage Under Quantization","created":"2026-06-02","cited_by_count":5,"area":"mechinterp"},{"id":"2605.31183","title":"Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines","created":"2026-05-29","cited_by_count":3,"area":"mechinterp"},{"id":"2606.20678","title":"Beyond Importance: Interchange-Sobol Sensitivity Reveals Task-Specific Content Channels in Transformer Components","created":"2026-06-12","cited_by_count":3,"area":"mechinterp"},{"id":"2609.07876","title":"LLM Layers Immediately Correct Each Other","created":"2026-09-07","cited_by_count":3,"area":"mechinterp"},{"id":"2605.31518","title":"On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders","created":"2026-05-29","cited_by_count":2,"area":"mechinterp"},{"id":"2606.26629","title":"From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning","created":"2026-06-25","cited_by_count":2,"area":"mechinterp"},{"id":"2606.01695","title":"CANARY: Zero-Label Detection of Fine-Tuning Contamination in Language Models","created":"2026-06-01","cited_by_count":1,"area":"mechinterp"},{"id":"2606.07007","title":"A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders","created":"2026-06-05","cited_by_count":1,"area":"mechinterp"},{"id":"2606.10080","title":"VFUSE: Virulent Feature Understanding with Sparse autoEncoders","created":"2026-06-08","cited_by_count":1,"area":"mechinterp"},{"id":"2606.15092","title":"High-Dimensional Random Projection for Activation Steering in Language Models","created":"2026-06-13","cited_by_count":1,"area":"mechinterp"},{"id":"2606.18322","title":"SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior","created":"2026-06-16","cited_by_count":1,"area":"mechinterp"},{"id":"2606.24964","title":"Evidence for feature-specific error correction in LLMs","created":"2026-06-23","cited_by_count":1,"area":"mechinterp"},{"id":"2606.28548","title":"Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution","created":"2026-06-26","cited_by_count":1,"area":"mechinterp"},{"id":"2607.01336","title":"Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders","created":"2026-07-01","cited_by_count":1,"area":"mechinterp"},{"id":"2607.24645","title":"Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects","created":"2026-07-27","cited_by_count":1,"area":"mechinterp"},{"id":"2609.07037","title":"Disentangling Steering Vectors","created":"2026-09-07","cited_by_count":1,"area":"mechinterp"},{"id":"2606.02385","title":"How Optimality Structures Sparse Dictionaries: Theory for Interpreting SAE Representations","created":"2026-06-01","cited_by_count":0,"area":"mechinterp"},{"id":"2606.07617","title":"Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects","created":"2026-05-30","cited_by_count":0,"area":"mechinterp"},{"id":"2606.08365","title":"Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects","created":"2026-06-06","cited_by_count":0,"area":"mechinterp"},{"id":"2606.09940","title":"Interactions Between Crosscoder Features: A Compact Proofs Perspective","created":"2026-06-08","cited_by_count":0,"area":"mechinterp"},{"id":"2606.14040","title":"Decompose Sparsely Where You Should, Absorb Densely Where You Should No","created":"2026-06-12","cited_by_count":0,"area":"mechinterp"},{"id":"2606.15468","title":"Analyzing Visual Aircraft Representations with Sparse Autoencoders","created":"2026-06-13","cited_by_count":0,"area":"mechinterp"},{"id":"2606.16044","title":"Circuit Tracing in Autoregressive Protein Language Models","created":"2026-06-14","cited_by_count":0,"area":"mechinterp"},{"id":"2606.16240","title":"Creative Collision: Directorial Persona Steering and Competition in Large Language Models","created":"2026-06-15","cited_by_count":0,"area":"mechinterp"},{"id":"2606.26396","title":"At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization","created":"2026-06-24","cited_by_count":0,"area":"mechinterp"},{"id":"2606.27440","title":"PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding","created":"2026-06-25","cited_by_count":0,"area":"mechinterp"},{"id":"2606.28770","title":"Mechanistic Personality Analysis of LLMs: Steering Personality via Latent Feature Interventions","created":"2026-06-27","cited_by_count":0,"area":"mechinterp"},{"id":"2607.01799","title":"Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability","created":"2026-07-02","cited_by_count":0,"area":"mechinterp"},{"id":"2607.12166","title":"From Geometric Recovery to Causal Validation: A Reproducible Audit of Sparse Autoencoder Features, from Superposition Geometry to Causal Inertness","created":"2026-07-13","cited_by_count":0,"area":"mechinterp"},{"id":"2607.16295","title":"Emergent Hierarchical Monosemantic Neurons from the Group-Contrastive Forward-Forward Algorithm","created":"2026-07-13","cited_by_count":0,"area":"mechinterp"},{"id":"2607.17117","title":"Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations","created":"2026-07-19","cited_by_count":0,"area":"mechinterp"},{"id":"2607.20652","title":"Scaling Interpretable Transformers with Parity Bottleneck Layers","created":"2026-07-22","cited_by_count":0,"area":"mechinterp"},{"id":"2608.06429","title":"Recovering Lesion Parameters from Aphasic Picture Naming Error Profiles in Large Language Models","created":"2026-08-05","cited_by_count":0,"area":"mechinterp"},{"id":"2608.10172","title":"Intrinsic Structure: Spectral Identifiability for Mechanistic Interpretability","created":"2026-08-10","cited_by_count":0,"area":"mechinterp"},{"id":"2608.12717","title":"Perturbation-based Regional Interpretability through Subtraction Mapping (PRISM): naming-error dissociations in language models and post-stroke aphasia","created":"2026-08-13","cited_by_count":0,"area":"mechinterp"},{"id":"2608.13337","title":"Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation","created":"2026-08-13","cited_by_count":0,"area":"mechinterp"},{"id":"2608.20117","title":"SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth Events","created":"2026-08-20","cited_by_count":0,"area":"mechinterp"},{"id":"2608.20970","title":"Deep Learning Models Also Recall Features","created":"2026-08-21","cited_by_count":0,"area":"mechinterp"},{"id":"2608.22034","title":"Align, Unify, Suppress, Route: A Coherentist View of Transformer Computation","created":"2026-08-22","cited_by_count":0,"area":"mechinterp"},{"id":"2608.25941","title":"When Pruning Meets Interpretability: Preserving Sparse Autoencoder Robustness in LLMs","created":"2026-08-26","cited_by_count":0,"area":"mechinterp"},{"id":"2608.27510","title":"How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attribution","created":"2026-08-27","cited_by_count":0,"area":"mechinterp"},{"id":"2608.29034","title":"A Unifying Perspective on Language Model Representations: From Filler-Role Structure to Mechanistic Interpretability","created":"2026-08-29","cited_by_count":0,"area":"mechinterp"},{"id":"2609.04344","title":"SharedSAE: One Feature Dictionary Across Language Models","created":"2026-09-03","cited_by_count":0,"area":"mechinterp"},{"id":"2609.07061","title":"PhysSAE: Mechanistic Interpretability of PINNs with Sparse Autoencoders","created":"2026-09-07","cited_by_count":0,"area":"mechinterp"},{"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":"2609.09902","title":"Contrastive Projection: Reading Transformer Internals by Differencing Logit Lenses","created":"2026-09-09","cited_by_count":0,"area":"mechinterp"},{"id":"2609.15533","title":"The Misery of Mechanistic Interpretability: A Formal Perspective","created":"2026-09-14","cited_by_count":0,"area":"mechinterp"},{"id":"2609.17152","title":"ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers","created":"2026-09-15","cited_by_count":0,"area":"mechinterp"},{"id":"2609.22782","title":"Look Before You Steer: Geometry Predicts SAE Feature Steerability","created":"2026-09-19","cited_by_count":0,"area":"mechinterp"},{"id":"2609.33810","title":"Controlling Speaking Rate in Autoregressive TTS via Activation Steering","created":"2026-09-27","cited_by_count":0,"area":"mechinterp"},{"id":"2609.33818","title":"Augmenting Visual Anomaly Detection with Automated Interpretability","created":"2026-09-27","cited_by_count":0,"area":"mechinterp"},{"id":"2609.35521","title":"Beyond Token Scale: Chunk-Level Sparse Autoencoders for Reliable Semantic Feature Discovery","created":"2026-09-28","cited_by_count":0,"area":"mechinterp"},{"id":"2609.36294","title":"When Trees Are Not Enough: Learning Mixed-Topology Feature Graphs with Adaptive Graph Sparse Autoencoders","created":"2026-09-28","cited_by_count":0,"area":"mechinterp"},{"id":"2609.37857","title":"Active Budget Can Kill Sensitivity: Diagnosing and Repairing TopK Sparse Autoencoder Reliability","created":"2026-09-29","cited_by_count":0,"area":"mechinterp"},{"id":"2610.01062","title":"Kernelized Activation Steering","created":"2026-10-01","cited_by_count":0,"area":"mechinterp"},{"id":"2610.02829","title":"Clinical Concept Centers in LLMs","created":"2026-10-02","cited_by_count":0,"area":"mechinterp"},{"id":"2610.03698","title":"Decoding the Functional Roles of Register and High-Norm Patch Tokens in Vision Transformers","created":"2026-10-02","cited_by_count":0,"area":"mechinterp"},{"id":"2610.04020","title":"ClasSAE: Class-Aligned Sparse Autoencoders via Differentiable Feature-Class Affinity","created":"2026-10-02","cited_by_count":0,"area":"mechinterp"},{"id":"2610.04905","title":"ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection","created":"2026-10-04","cited_by_count":0,"area":"mechinterp"},{"id":"2610.15850","title":"What Do Sparse Autoencoder Feature Discovery Scores Identify? From Activations to Interventions","created":"2026-10-11","cited_by_count":0,"area":"mechinterp"},{"id":"2610.16084","title":"The Sharp Directions Are Against You: Curvature Analysis of Activation Steering","created":"2026-10-12","cited_by_count":0,"area":"mechinterp"},{"id":"2610.17898","title":"Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features","created":"2026-10-13","cited_by_count":0,"area":"mechinterp"}],"next_cursor":null}