Llm Interpretability How To Steer Its Features

Quick Summary: State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer. In this AI Research Roundup episode, Alex discusses the paper: 'The Information Geometry of Softmax: Probing and

Llm Interpretability How To Steer Its Features -

State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer. In this AI Research Roundup episode, Alex discusses the paper: 'The Information Geometry of Softmax: Probing and Modify the behavior or the personality of a model at inference time, without fine-tuning or prompt engineering.

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State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer.
In this AI Research Roundup episode, Alex discusses the paper: 'The Information Geometry of Softmax: Probing and
Modify the behavior or the personality of a model at inference time, without fine-tuning or prompt engineering.
Large language models like GPT-4, Claude, and DeepSeek might feel magical, but at
Use code WELCHLABS at the link below and get 60% off an annual plan: ...

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LLM Interpretability - How to steer its features?

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An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025

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LLM Interpretability - How to steer its features?

LLM Interpretability - How to steer its features?

Read more details and related context about LLM Interpretability - How to steer its features?.

Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)

Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)

State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer.

Steering LLM Behavior Without Fine-Tuning

Steering LLM Behavior Without Fine-Tuning

Modify the behavior or the personality of a model at inference time, without fine-tuning or prompt engineering. Read the blog post ...

Mechanistic Interpretability 2026: Reverse Engineering LLMs Into Features, Circuits

Mechanistic Interpretability 2026: Reverse Engineering LLMs Into Features, Circuits

Read more details and related context about Mechanistic Interpretability 2026: Reverse Engineering LLMs Into Features, Circuits.

Dual Steering: Precise LLM Concept Control

Dual Steering: Precise LLM Concept Control

In this AI Research Roundup episode, Alex discusses the paper: 'The Information Geometry of Softmax: Probing and

Interpretability: Understanding how AI models think

Interpretability: Understanding how AI models think

What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...

The Dark Matter of AI [Mechanistic Interpretability]

The Dark Matter of AI [Mechanistic Interpretability]

Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...

An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025

An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025

How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Mechanistic ...

Between the Layers– Interpreting Large Language Models - Michelle Frost - NDC AI 2025

Between the Layers– Interpreting Large Language Models - Michelle Frost - NDC AI 2025

This talk was recorded at NDC AI in Oslo, Norway. Attend the next NDC ...

How does an LLM ACTUALLY Work? (Visual Breakdown)

How does an LLM ACTUALLY Work? (Visual Breakdown)

Large language models like GPT-4, Claude, and DeepSeek might feel magical, but at