#interpretability

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#machine-learning
Artificial intelligence
fromtowardsdatascience.com
5 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
3 months 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
3 months ago
Artificial intelligence

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

fromHackernoon
1 year ago
Artificial intelligence

A Comparative Study of Attention-Based MIL Architectures in Cancer Detection | HackerNoon

Artificial intelligence
fromtowardsdatascience.com
5 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
3 months 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
3 months ago
Artificial intelligence

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

fromHackernoon
1 year ago
Artificial intelligence

A Comparative Study of Attention-Based MIL Architectures in Cancer Detection | HackerNoon

more#machine-learning
Artificial intelligence
fromInfoQ
1 month ago

Anthropic Open-sources Tool to Trace the "Thoughts" of Large Language Models

Anthropic has open-sourced a tool to trace internal workings of large language models during inference, enhancing interpretability and analysis.
Artificial intelligence
fromArs Technica
4 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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