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

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

Neuron 37 in Layer 0

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



Text #0

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Max Act: 2.9444. Min Act: -0.1700

Data Index: 1560576 (Python Code)

Max Activating Token Index: 330

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Text #1

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Data Index: 818899 (C4 (Web Text))

Max Activating Token Index: 146

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Text #2

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Data Index: 1500824 (Python Code)

Max Activating Token Index: 329

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Text #3

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Data Index: 467247 (C4 (Web Text))

Max Activating Token Index: 72

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Text #4

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Data Index: 1421532 (Python Code)

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Text #5

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Data Index: 1176665 (C4 (Web Text))

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Text #6

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Data Index: 509405 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 858833 (C4 (Web Text))

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Text #9

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Data Index: 1585923 (Python Code)

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Text #10

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Text #11

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Text #12

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Data Index: 1304536 (C4 (Web Text))

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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: 408218 (C4 (Web Text))

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Text #18

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Data Index: 1062164 (C4 (Web Text))

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Text #19

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Data Index: 1476913 (Python Code)

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