MCCB Experiment Code and Reproducible Results
Abstract
This archive contains the experimental code and generated resultsfor the study: "Multi-Channel Conscious Binding (MCCB): Dynamic Concept Steeringin Frozen Large Language Models". The repository provides a minimal, all-in-one implementation of theMCCB method, including concept vector construction, calibration,activation measurement, and visualization. Contents:- A single Python script reproducing all experiments- Generated numerical results (CSV)- Visualization figures (PNG)- A human-readable summary (TXT) The code is designed for clarity and reproducibility rather thanperformance optimization. This archive is intended to support reproducibility, inspection,and further extension of the MCCB framework.
Fields of Study & Subjects
Topic Modeling
Explainable Artificial Intelligence (XAI)
Multimodal Machine Learning Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026
- Language
- EN