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Neurons in Large Language Models: Dead, N-gram, Positional
The paper analyzes large language models and finds that many neurons are "dead" and never activate, while others act as token and n-gram detectors. The models become more sparse with scale, and some neurons are positional.
https://arxiv.org/abs//2309.04827
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
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
The paper analyzes large language models and finds that many neurons are "dead" and never activate, while others act as token and n-gram detectors. The models become more sparse with scale, and some neurons are positional.
https://arxiv.org/abs//2309.04827
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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