worldlens
Worldlens is an early-stage Python library for interpretability research on pretrained world models. It will provide reusable interfaces and analysis tools for inspecting how world models represent state, dynamics, goals, and other environment factors.
The initial research code studies visual joint-embedding predictive architectures (JEPAs), including frozen LeWM representations across manipulation and navigation environments.
The public API is under active design and is not yet stable.
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