Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1923 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')

Text #0

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Max Act: 3.4893. Min Act: -0.1700

Data Index: 124091 (C4 (Web Text))

Max Activating Token Index: 707

Text #1

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Max Activating Token Index: 932

Text #2

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Max Activating Token Index: 701

Text #3

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Data Index: 668388 (C4 (Web Text))

Max Activating Token Index: 943

Text #4

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Max Activating Token Index: 507

Text #5

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Max Activating Token Index: 511

Text #6

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Text #7

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Max Activating Token Index: 722

Text #8

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Max Activating Token Index: 215

Text #9

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Max Activating Token Index: 671

Text #10

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Text #11

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Max Activating Token Index: 436

Text #12

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Max Activating Token Index: 255

Text #13

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Max Activating Token Index: 708

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 865

Text #19

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Data Index: 5117 (C4 (Web Text))

Max Activating Token Index: 472