Language Model Circuits Are Sparse in the Neuron Basis
Language Model Circuits Are Sparse in the Neuron Basis explores Develop end-to-end pipeline for circuit tracing on sparse MLP neuron basis, enhancing model interpretability without extra training costs.. Commercial viability score: 5/10 in Language Model Interpretability.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisDo Language Models Encode Semantic Relations? Probing and Sparse Feature AnalysisViability: 2.0
- Builds On ThisSparse but not Simpler: A Multi-Level Interpretability Analysis of Vision TransformersViability: 2.0
- Builds On ThisNeuronSpark: A Spiking Neural Network Language Model with Selective State Space DynamicsViability: 2.0
- Builds On ThisSparse Visual Thought Circuits in Vision-Language ModelsViability: 4.0
- Builds On ThisFrom Early Encoding to Late Suppression: Interpreting LLMs on Character Counting Tasks