Guide Labs debuts a new kind of interpretable LLM

Guide Labs has open-sourced Steerling-8B, an 8 billion parameter LLM designed to be interpretable, meaning its decisions can be traced back to its training data and understood rather than treated as a black box. The model uses a new architecture with a concept layer that buckets data into traceable categories, allowing developers to understand why the model produces specific outputs and control its behavior for applications like blocking copyrighted content or preventing bias in loan evaluations.