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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 21 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 6.1911. Min Range: -6.1911

Max Act: 6.1911. Min Act: -0.1700

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))

Max Activating Token Index: 497

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Text #4

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Data Index: 294947 (C4 (Web Text))

Max Activating Token Index: 527

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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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Text #13

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Text #14

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Text #15

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Text #16

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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))

Max Activating Token Index: 449

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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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