AI Glossary

Interpretability

Research into what happens inside a model, aiming to explain how it gets from its input to its output. Mechanistic interpretability, one branch of it, tries to identify the specific internal features behind what a model does.

See also

  • Alignment

    Making AI systems behave in line with human intentions and values, including in situations their makers did not foresee.

  • AI safety

    The work of keeping AI systems from causing harm, whether through malicious use, malfunctions or wider risks to society.

Source: Anthropic, Mapping the mind of a large language model (2024) (opens in a new tab)

Cite this term.

CC BY 4.0, attribution required.

This term

Orbyt Labs, Interpretability (AI Glossary), Oct 18, 2026. https://www.orbytlabs.ai/orbyt-collective/glossary/interpretability

The dataset (JSON)

Orbyt Labs Glossaries (Oct 19, 2026), https://www.orbytlabs.ai/glossary#dataset

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