# Drowse

> Drowse is an open-source workbench for mechanistic interpretability, activation steering, and local inference with language models. Run a compatible model in your browser, inspect tokens and internal representations, and compare how an intervention changes its output. A separate Python library and server support programmatic experiments.

The browser workbench runs supported models locally with WebGPU. Available instruments depend on the selected model and compatible packs. Python also provides a library, CLI, local HTTP APIs, SAE training and lens fitting.

## Documentation

- [Overview](https://drowse.ai/index.md): Product summary and entry points.
- [Explore language models with Drowse](https://drowse.ai/learn.md): Learn to inspect language models, steer activations, run local WebGPU inference, and compare experiments in the Drowse workbench.
- [Activation steering for language models](https://drowse.ai/learn/activation-steering.md): Explore activation steering without changing model weights: concept vectors, manifolds, SAE features, word directions, ablation, and probe gates.
- [Inspect tokens and internal representations](https://drowse.ai/learn/interpretability.md): Inspect token probabilities, concept probes, sparse autoencoder features, and Jacobian-lens layer predictions in Drowse's local LLM workbench.
- [Run a language model locally in your browser](https://drowse.ai/learn/browser-models.md): Run compatible Gemma, Qwen, GPT-2, and Pythia models locally with Drowse. Learn about WebGPU, downloads, device checks, and browser storage.
- [Compare language-model experiments](https://drowse.ai/learn/experiments.md): Compare language-model continuations with Loom branches, token forks, activation interventions, template scoring, and saved experiment recipes.
- [Drowse for developers and browser agents](https://drowse.ai/developers.md): Use Drowse's experimental WebMCP browser tools or the separate Python library and OpenAI-compatible, Ollama-compatible, and native inference APIs.
- [Privacy and your local data](https://drowse.ai/privacy.md): Understand Drowse's browser-local prompts and conversations, model downloads, optional feature lookups, agent access, backups, and contact submissions.
- [About Drowse](https://drowse.ai/about.md): Drowse is an open-source workbench for local language models, activation steering, and mechanistic interpretability. Find source, licensing, and contributors.

## Agent operation

- [Drowse browser skill](https://drowse.ai/skills/drowse/SKILL.md): Operate the existing WebMCP tools in a supported browser.
- [Source code](https://github.com/a9lim/drowse): Implementation, installation, issues and license.

## Optional

- [Combined documentation](https://drowse.ai/llms-full.txt): All public guides in one file.

- [Agent resource catalog](https://drowse.ai/.well-known/ard.json): Machine-readable discovery for the browser-agent skill; not a remote inference endpoint.