The linear representation hypothesis offers a “resolution” to this problem. Use Linear for free with your whole team. Linear is the tool of choice for ambitious startups to plan, build, and scale their products. Linear is the system for modern product development. Powerful yet simple to use, it streamlines issues, sprints, and projects. To investigate this question, they use linear probes to determine whether the model encodes a reasoning tree. Types of Interpretability Interpretability by design: This thread focuses on constructing AI models to be transparent from the outset, often using inherently interpretable architectures such as decision trees, linear models, or additive models alongside classical attribution techniques to explain sensitivity to inputs and training data. Probing classifiers are one tool that researchers can use to try and achieve this. Sep 9, 2024 ยท Understanding AI systems' inner workings is critical for ensuring value alignment and safety. They reveal how semantic content evolves across network depths, providing actionable insights for model interpretability and performance In this sheet, we will look at methods for identifying the computational mechanisms that lead to the outputs, i.

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