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EleutherAI ablates activation functions in GPT-like models

Researchers at EleutherAI conducted an experiment to study the impact of different activation functions on GPT-like language models with approximately 100 million parameters. The models were trained for a limited duration of 10,000 iterations. While the initial goal was to demonstrate that activation functions have minimal impact, the experiment was not extensive enough to provide statistically significant conclusions, and the results are being shared publicly for potential use by others. AI

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RANK_REASON This is a research paper detailing an ablation study on activation functions in language models.

Read on EleutherAI Blog →

EleutherAI ablates activation functions in GPT-like models

COVERAGE [1]

  1. EleutherAI Blog TIER_1 ·

    Activation Function Ablation

    An ablation of activation functions in GPT-like autoregressive language models.