% Key papers for Mechanistic circuit interpretability (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2019_latent_101695, title = {{Latent Multi-Task Architecture Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4410}, } @inproceedings{aaai2021_alp_68, title = {{ALP-KD: Attention-Based Layer Projection for Knowledge Distillation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/13657-alp-kd-attention-based-layer-projection-for-knowledge-distillation/}, } @inproceedings{neurips2018_neural_57425, title = {{Neural Arithmetic Logic Units}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11770}, } @inproceedings{iclr2019_how_29097, title = {{How Important is a Neuron}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/927}, } @inproceedings{neurips2018_insights_57245, title = {{Insights on representational similarity in neural networks with canonical correlation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11558}, } @inproceedings{iclr2024_sparse_33994, title = {{Sparse Autoencoders Find Highly Interpretable Features in Language Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19081}, } @inproceedings{iclr2018_learning_28516, title = {{Learning to Teach}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/193}, } @inproceedings{aaai2021_learning_859, title = {{Learning Accurate and Interpretable Decision Rule Sets from Neural Networks}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/04303-learning-accurate-and-interpretable-decision-rule-sets-from-neural-networks/}, } @inproceedings{aaai2021_neural_1063, title = {{Neural-Symbolic Integration: A Compositional Perspective}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05051-neural-symbolic-integration-a-compositional-perspective/}, } @inproceedings{iclr2018_routing_28713, title = {{Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/58}, } @inproceedings{cvpr2021_neural_17496, title = {{Neural Response Interpretation Through the Lens of Critical Pathways}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{icml2017_understanding_36441, title = {{Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2017}, url = {https://proceedings.mlr.press/v70/nagamine17a.html}, } @inproceedings{icml2019_adaptive_37132, title = {{Adaptive Neural Trees}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3645}, } @inproceedings{neurips2021_generalized_61954, title = {{Generalized Shape Metrics on Neural Representations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27406}, } @inproceedings{iclr2020_neural_29412, title = {{Neural Arithmetic Units}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=H1gNOeHKPS}, } @inproceedings{iclr2021_are_30038, title = {{Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3200}, } @inproceedings{neurips2021_how_63429, title = {{How Well do Feature Visualizations Support Causal Understanding of CNN Activations?}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27775}, } @inproceedings{iclr2021_selectivity_30052, title = {{Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2799}, } @inproceedings{neurips2021_understanding_61223, title = {{Understanding Interlocking Dynamics of Cooperative Rationalization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28039}, } @inproceedings{neurips2018_multi_57404, title = {{Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/12024}, } @inproceedings{neurips2024_transcoders_71527, title = {{Transcoders find interpretable LLM feature circuits}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95736}, } @inproceedings{aaai2024_empowering_5826, title = {{Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28258}, } @inproceedings{icml2024_tilting_43643, title = {{Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34809}, } @inproceedings{aaai2025_neural_10108, title = {{Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33720}, } @inproceedings{aaai2025_qimlp_10410, title = {{QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34402}, } @inproceedings{iclr2025_expressivity_80847, title = {{Expressivity of Neural Networks with Random Weights and Learned Biases}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30920}, } @inproceedings{iclr2025_efficient_80724, title = {{Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/31044}, } @inproceedings{aaai2025_a_7926, title = {{A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32049}, } @inproceedings{aaai2025_learning_9765, title = {{Learning to Think like a Neuron in Middle School}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35195}, } @inproceedings{aaai2025_monitoring_9985, title = {{Monitoring Primitive Interactions During the Training of DNNs}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34223}, } @inproceedings{iclr2024_is_33975, title = {{Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/19100}, } @inproceedings{icml2026_protein_51299, title = {{Protein Circuit Tracing via Cross-layer Transcoders}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=Ki0eWT1sFS}, } @inproceedings{neurips2024_interpretable_72029, title = {{Interpretable Mesomorphic Networks for Tabular Data}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95288}, } @inproceedings{neurips2024_interpbench_72142, title = {{InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/97689}, } @inproceedings{neurips2024_hyperlogic_73288, title = {{HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94153}, } @inproceedings{neurips2024_infinite_74486, title = {{Infinite-Dimensional Feature Interaction}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93089}, } @inproceedings{neurips2025_rethinking_74813, title = {{Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=1WkolvkTVi}, } @inproceedings{iclr2025_formation_81921, title = {{Formation of Representations in Neural Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29863}, } @inproceedings{aaai2025_scaling_10689, title = {{Scaling Effects on Latent Representation Edits in GPT Models (Student Abstract)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35245}, }