jasonrichdarmawan/steering-model-with-latent-reasoning

This project is a minimal implementation of a specific research concept: applying steering vectors to recurrent depth models. With only 2 stars and 2 forks over nearly a year, it represents a personal or academic experiment rather than a production-grade tool. The defensibility is near zero, as the code is 'minimal' by design and the underlying technique is a standard application of Representation Engineering (RepE) to a niche architecture. Competitive risk is extremely high; frontier labs like OpenAI (o1) and Anthropic are currently defining the state-of-the-art in test-time compute and latent reasoning. These capabilities are being baked into the core architecture of models rather than applied as external steering patches. Furthermore, more robust interpretability frameworks like TransformerLens or nnsight provide superior tools for this type of research, making this specific repository likely obsolete for anything beyond its original pedagogical purpose.