/** * Note: This file may contain artifacts of previous malicious infection. * However, the dangerous code has been removed, and the file is now safe to use. */

Editing Induction Heads

UMass CS685 S24 (Advanced NLP) #22: LLM interpretability: probing, editing, induction heads

UMass CS685 S24 (Advanced NLP) #22: LLM interpretability: probing, editing, induction heads

1:10:43
Catherine Olsson - Induction Heads

Catherine Olsson - Induction Heads

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Stanford CS25: V1 I Transformer Circuits, Induction Heads, In-Context Learning

Stanford CS25: V1 I Transformer Circuits, Induction Heads, In-Context Learning

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A Walkthrough of A Mathematical Framework for Transformer Circuits

A Walkthrough of A Mathematical Framework for Transformer Circuits

2:50:14
Understanding ICL: Induction Heads (Natural Language Processing at UT Austin)

Understanding ICL: Induction Heads (Natural Language Processing at UT Austin)

7:29
David Bau - Direct Model Editing and Mechanistic Interpretability

David Bau - Direct Model Editing and Mechanistic Interpretability

1:00:29
Visualize the Transformers Multi-Head Attention in Action

Visualize the Transformers Multi-Head Attention in Action

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Transformer Circuits Part 1

Transformer Circuits Part 1

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How a Transformer works at inference vs training time

How a Transformer works at inference vs training time

49:53
L11 Language Models -- guest instructor: Alec Radford (OpenAI) --- Deep Unsupervised Learning SP20

L11 Language Models -- guest instructor: Alec Radford (OpenAI) --- Deep Unsupervised Learning SP20

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Concrete Open Problems in Mechanistic Interpretability: Neel Nanda at SERI MATS

Concrete Open Problems in Mechanistic Interpretability: Neel Nanda at SERI MATS

1:26:48
Vision Transformer for Image Classification

Vision Transformer for Image Classification

14:47
Giới thiệu cơ chế Self-Attention, Kiến trúc Transformer và mô hình BERT

Giới thiệu cơ chế Self-Attention, Kiến trúc Transformer và mô hình BERT

58:13
A Walkthrough of Progress Measures for Grokking via Mechanistic Interpretability: What? (Part 1/3)

A Walkthrough of Progress Measures for Grokking via Mechanistic Interpretability: What? (Part 1/3)

43:10
Induction Heads - Singular Learning Theory Seminar 40

Induction Heads - Singular Learning Theory Seminar 40

1:18:46

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