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

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

Neuron 1599 in Layer 2

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



Text #0

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Max Act: 4.6426. Min Act: -0.1700

Data Index: 362467 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #1

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Max Act: 4.5801. Min Act: -0.1700

Data Index: 138698 (C4 (Web Text))

Max Activating Token Index: 845

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Text #2

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Max Act: 4.5801. Min Act: -0.1700

Data Index: 68314 (C4 (Web Text))

Max Activating Token Index: 28

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Text #3

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Max Act: 4.6114. Min Act: -0.1700

Data Index: 60975 (C4 (Web Text))

Max Activating Token Index: 913

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Text #4

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Data Index: 1102526 (C4 (Web Text))

Max Activating Token Index: 843

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Text #5

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Max Act: 4.5801. Min Act: -0.1700

Data Index: 1284997 (C4 (Web Text))

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Text #6

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Data Index: 1026587 (C4 (Web Text))

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Text #7

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Data Index: 1137121 (C4 (Web Text))

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Text #8

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Data Index: 960719 (C4 (Web Text))

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Text #9

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Data Index: 1254889 (C4 (Web Text))

Max Activating Token Index: 306

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Text #10

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Data Index: 1179311 (C4 (Web Text))

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Text #11

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Data Index: 215550 (C4 (Web Text))

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Text #12

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Data Index: 745167 (C4 (Web Text))

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Text #13

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Data Index: 615022 (C4 (Web Text))

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Text #14

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Data Index: 1161653 (C4 (Web Text))

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Text #15

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Data Index: 541492 (C4 (Web Text))

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Text #16

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Data Index: 909157 (C4 (Web Text))

Max Activating Token Index: 432

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Text #17

Max Range: 4.6426. Min Range: -4.6426

Max Act: 4.4551. Min Act: -0.1700

Data Index: 1288720 (C4 (Web Text))

Max Activating Token Index: 454

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Text #18

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Data Index: 1581284 (Python Code)

Max Activating Token Index: 649

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Text #19

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Data Index: 1412801 (Python Code)

Max Activating Token Index: 410

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