OpenInterpretability
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OpenInterpretability

Ekbasis: know what an action will do before your agent runs it. From an independent lab for AI-agent safety. Open weights, Apache-2.0: download it and run it yourself.

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© 2026 OpenInterpretability — Apache-2.0 for code, CC-BY 4.0 for docs.Built in public.
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Q2 2026

Laboratory

Edit the model. Compose interventions. Export steered checkpoints.

Democratizes the "edit-the-model" capability that today lives in five labs. Drag features in. Suppress one, amplify another. Preview output live. Ship the recipe.

Tools

Sandbox

Q2

Drag-and-drop steering. Compose multi-feature interventions. Live output preview. Save as recipe URL.

Preview

Recipe Store

Q2

Public marketplace of steering packs — helpful, honest, harmless. Fork, star, PR. One-click plug-in to your transformers model.

Preview

Auto-Interp Engine

Q3

Upload a failure dataset, get back the top 50 features correlated with errors. The sacred grail of LLM debugging.

Preview

Counterfactual Studio

Q3

"What if this token were X?" Surgical replay with exact-token edits; see how features downstream shift. Feels like a React time-travel debugger.

Preview

Be an early Lab partner

Labs, safety teams, and individual researchers using SAE interventions in their workflow get priority access to Sandbox beta, free credits, and direct influence on the Recipe Store schema. We want your hardest use case.

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