Longer than a recipe, shorter than a course. Each tutorial has prerequisites, learning objectives, verifiable checkpoints, and pointers to the next step.
First-time users who have completed the quickstart.
Users who have shipped one experiment.
Custom probes, custom adapters, and cross-run analysis.
Interpretability workflows written for research reproducibility.
Deploying NeuronScope in CI, monitoring, and gating releases.
Tutorials centred on ns rather than the Python API.
Integrating NeuronScope into a larger library.
Building, testing, and publishing a plugin.
Designing fair benchmarks with NeuronScope.
Measuring overhead and diagnosing hotspots.
Activation patching, circuit discovery, and probing.