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

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

Neuron 1787 in Layer 0

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

Text #0

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Max Act: 3.0955. Min Act: -0.1700

Data Index: 1078222 (C4 (Web Text))

Max Activating Token Index: 142

Text #1

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Max Activating Token Index: 503

Text #2

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Max Activating Token Index: 106

Text #3

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Data Index: 618982 (C4 (Web Text))

Max Activating Token Index: 60

Text #4

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Max Activating Token Index: 216

Text #5

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Max Activating Token Index: 266

Text #6

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Max Activating Token Index: 519

Text #7

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Max Activating Token Index: 888

Text #8

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Max Activating Token Index: 61

Text #9

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Max Activating Token Index: 872

Text #10

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Text #11

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Max Activating Token Index: 217

Text #12

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Max Activating Token Index: 511

Text #13

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Max Activating Token Index: 667

Text #14

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Max Activating Token Index: 839

Text #15

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Max Activating Token Index: 677

Text #16

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Max Activating Token Index: 181

Text #17

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Max Activating Token Index: 946

Text #18

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Max Activating Token Index: 888

Text #19

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Max Act: 3.0008. Min Act: -0.1700

Data Index: 899487 (C4 (Web Text))

Max Activating Token Index: 754