Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 21 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 53015 (C4 (Web Text))
Max Activating Token Index: 654
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Text #1
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Data Index: 234320 (C4 (Web Text))
Max Activating Token Index: 978
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Text #2
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Data Index: 501936 (C4 (Web Text))
Max Activating Token Index: 335
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Text #3
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Data Index: 605863 (C4 (Web Text))
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Text #4
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Data Index: 294947 (C4 (Web Text))
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Text #5
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Data Index: 1334484 (C4 (Web Text))
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Text #6
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Data Index: 1094055 (C4 (Web Text))
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Text #7
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Data Index: 32189 (C4 (Web Text))
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Text #8
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Data Index: 231007 (C4 (Web Text))
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Text #9
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Data Index: 383625 (C4 (Web Text))
Max Activating Token Index: 528
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Text #10
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Data Index: 1317374 (C4 (Web Text))
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Text #11
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Data Index: 281595 (C4 (Web Text))
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Text #12
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Data Index: 643922 (C4 (Web Text))
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Text #13
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Data Index: 543575 (C4 (Web Text))
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Text #14
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Data Index: 426991 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 1337081 (C4 (Web Text))
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Text #17
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Data Index: 16253 (C4 (Web Text))
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Text #18
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Data Index: 12282 (C4 (Web Text))
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Text #19
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Data Index: 141131 (C4 (Web Text))
Max Activating Token Index: 704
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