#interpretability

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#machine-learning
Artificial intelligence
fromtowardsdatascience.com
3 months ago

Formulation of Feature Circuits with Sparse Autoencoders in LLM

Sparse Autoencoders can help interpret Large Language Models despite challenges posed by superposition.
Feature circuits in neural networks illustrate how input features combine to form complex patterns.
Artificial intelligence
fromInfoQ
1 month ago

Anthropic's "AI Microscope" Explores the Inner Workings of Large Language Models

Anthropic's research aims to enhance the interpretability of large language models by using a novel AI microscope approach.
fromHackernoon
1 month ago
Artificial intelligence

When Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoon

Artificial intelligence
fromtowardsdatascience.com
3 months ago

Formulation of Feature Circuits with Sparse Autoencoders in LLM

Sparse Autoencoders can help interpret Large Language Models despite challenges posed by superposition.
Feature circuits in neural networks illustrate how input features combine to form complex patterns.
Artificial intelligence
fromInfoQ
1 month ago

Anthropic's "AI Microscope" Explores the Inner Workings of Large Language Models

Anthropic's research aims to enhance the interpretability of large language models by using a novel AI microscope approach.
fromHackernoon
1 month ago
Artificial intelligence

When Smaller is Smarter: How Precision-Tuned AI Cracks Protein Mysteries | HackerNoon

more#machine-learning
Artificial intelligence
fromArs Technica
2 months ago

Researchers astonished by tool's apparent success at revealing AI's hidden motives

AI models can unintentionally reveal hidden motives despite being designed to conceal them.
Understanding AI's hidden objectives is crucial to prevent potential manipulation of human users.
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