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[short] Steering Llama 2 via Contrastive Activation Addition
Contrastive Activation Addition (CAA) is a method for steering language models by modifying activations during forward passes. It outperforms traditional methods and provides insights into how concepts are represented in Large Language Models (LLMs).
https://arxiv.org/abs//2312.06681
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
Contrastive Activation Addition (CAA) is a method for steering language models by modifying activations during forward passes. It outperforms traditional methods and provides insights into how concepts are represented in Large Language Models (LLMs).
https://arxiv.org/abs//2312.06681
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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