Unveiling the Circuitry: Decoding How Transformers Process Information
Published:Jan 12, 2026 01:51
•1 min read
•Zenn LLM
Analysis
This article highlights the fascinating emergence of 'circuitry' within Transformer models, suggesting a more structured information processing than simple probability calculations. Understanding these internal pathways is crucial for model interpretability and potentially for optimizing model efficiency and performance through targeted interventions.
Key Takeaways
- •LLMs, such as Transformers, are more than simple probability calculators.
- •Transformers build internal pathways that resemble electronic circuits.
- •The article uses IOI (Indirect Object Identification) to demonstrate the process.
Reference
“Transformer models form internal "circuitry" that processes specific information through designated pathways.”