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

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

Neuron 44 in Layer 0

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



Text #0

Max Range: 2.7137. Min Range: -2.7137

Max Act: 2.7137. Min Act: -0.1700

Data Index: 318209 (C4 (Web Text))

Max Activating Token Index: 747

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Text #1

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Max Act: 2.6336. Min Act: -0.1700

Data Index: 316774 (C4 (Web Text))

Max Activating Token Index: 992

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Text #2

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Max Act: 2.6336. Min Act: -0.1700

Data Index: 1522658 (Python Code)

Max Activating Token Index: 731

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Text #3

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Max Act: 2.6175. Min Act: -0.1700

Data Index: 1447994 (Python Code)

Max Activating Token Index: 721

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Text #4

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Data Index: 936148 (C4 (Web Text))

Max Activating Token Index: 84

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Text #5

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Data Index: 1394839 (Python Code)

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Text #6

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Data Index: 1210143 (C4 (Web Text))

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Text #7

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Data Index: 1268019 (C4 (Web Text))

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Text #8

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Data Index: 1441152 (Python Code)

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Text #9

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Data Index: 993146 (C4 (Web Text))

Max Activating Token Index: 805

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Text #10

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Data Index: 98573 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 528283 (C4 (Web Text))

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Text #13

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Data Index: 1055118 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 724748 (C4 (Web Text))

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Text #16

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Data Index: 160547 (C4 (Web Text))

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Text #17

Max Range: 2.7137. Min Range: -2.7137

Max Act: 2.5369. Min Act: -0.1700

Data Index: 404259 (C4 (Web Text))

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Text #18

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Max Act: 2.5369. Min Act: -0.1700

Data Index: 1352543 (C4 (Web Text))

Max Activating Token Index: 477

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Text #19

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Data Index: 1588442 (Python Code)

Max Activating Token Index: 782

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