Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1430 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Data Index: 809134 (C4 (Web Text))

Max Activating Token Index: 158

Text #1

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Max Activating Token Index: 579

Text #2

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Max Activating Token Index: 316

Text #3

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Data Index: 359546 (C4 (Web Text))

Max Activating Token Index: 919

Text #4

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Max Activating Token Index: 367

Text #5

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Max Activating Token Index: 622

Text #6

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Max Activating Token Index: 358

Text #7

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Max Activating Token Index: 119

Text #8

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Max Activating Token Index: 816

Text #9

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Max Activating Token Index: 785

Text #10

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Max Activating Token Index: 662

Text #11

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Max Activating Token Index: 259

Text #12

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Max Activating Token Index: 112

Text #13

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Data Index: 145448 (C4 (Web Text))

Max Activating Token Index: 489

Text #14

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Max Activating Token Index: 553

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: 10

Text #19

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Data Index: 33842 (C4 (Web Text))

Max Activating Token Index: 318