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

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

Neuron 221 in Layer 2

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



Text #0

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Max Act: 5.5718. Min Act: -0.1700

Data Index: 871963 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 5.4155. Min Act: -0.1700

Data Index: 198198 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 5.4468. Min Act: -0.1700

Data Index: 799568 (C4 (Web Text))

Max Activating Token Index: 408

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Text #3

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Max Act: 5.2280. Min Act: -0.1700

Data Index: 619661 (C4 (Web Text))

Max Activating Token Index: 837

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Text #4

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Data Index: 99122 (C4 (Web Text))

Max Activating Token Index: 763

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Text #5

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Max Act: 5.1030. Min Act: -0.1700

Data Index: 559089 (C4 (Web Text))

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Text #6

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Data Index: 1438920 (Python Code)

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Text #7

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Data Index: 1233895 (C4 (Web Text))

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Text #8

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Data Index: 342187 (C4 (Web Text))

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Text #9

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Data Index: 847637 (C4 (Web Text))

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Text #10

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Data Index: 312356 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 755304 (C4 (Web Text))

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Text #14

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Text #15

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Max Act: 4.9468. Min Act: -0.1700

Data Index: 938366 (C4 (Web Text))

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Text #16

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Data Index: 891970 (C4 (Web Text))

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Text #17

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Data Index: 543967 (C4 (Web Text))

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Text #18

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Max Act: 4.9155. Min Act: -0.1700

Data Index: 759787 (C4 (Web Text))

Max Activating Token Index: 851

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Text #19

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Data Index: 19327 (C4 (Web Text))

Max Activating Token Index: 605

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