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Token-wise Decomposition of Autoregressive Language Model Hidden States
  for Analyzing Model Predictions

Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions

17 May 2023
Byung-Doh Oh
William Schuler
ArXivPDFHTML

Papers citing "Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions"

5 / 5 papers shown
Title
Isotropy, Clusters, and Classifiers
Isotropy, Clusters, and Classifiers
Timothee Mickus
Stig-Arne Gronroos
Joseph Attieh
19
0
0
05 Feb 2024
Why bother with geometry? On the relevance of linear decompositions of
  Transformer embeddings
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings
Timothee Mickus
Raúl Vázquez
15
2
0
10 Oct 2023
In-context Learning and Induction Heads
In-context Learning and Induction Heads
Catherine Olsson
Nelson Elhage
Neel Nanda
Nicholas Joseph
Nova Dassarma
...
Tom B. Brown
Jack Clark
Jared Kaplan
Sam McCandlish
C. Olah
240
456
0
24 Sep 2022
Incorporating Residual and Normalization Layers into Analysis of Masked
  Language Models
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models
Goro Kobayashi
Tatsuki Kuribayashi
Sho Yokoi
Kentaro Inui
158
46
0
15 Sep 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
402
0
24 Feb 2021
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