MCCB Experiment Code and Reproducible Results

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Authors: Satoru Aide
Cited by: 0

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