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

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

Neuron 27 in Layer 0

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



Text #0

Max Range: 2.8739. Min Range: -2.8739

Max Act: 2.8739. Min Act: -0.1700

Data Index: 942216 (C4 (Web Text))

Max Activating Token Index: 41

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Text #1

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Max Act: 2.8422. Min Act: -0.1700

Data Index: 215192 (C4 (Web Text))

Max Activating Token Index: 906

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Text #2

Max Range: 2.8739. Min Range: -2.8739

Max Act: 2.8263. Min Act: -0.1700

Data Index: 1470962 (Python Code)

Max Activating Token Index: 343

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Text #3

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Max Act: 2.7785. Min Act: -0.1700

Data Index: 1398734 (Python Code)

Max Activating Token Index: 374

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Text #4

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Max Act: 2.7625. Min Act: -0.1700

Data Index: 598046 (C4 (Web Text))

Max Activating Token Index: 260

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Text #5

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Data Index: 1402998 (Python Code)

Max Activating Token Index: 745

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Text #6

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Data Index: 1560174 (Python Code)

Max Activating Token Index: 618

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Text #7

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Data Index: 1441254 (Python Code)

Max Activating Token Index: 476

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Text #8

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Data Index: 725048 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #9

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Data Index: 1462239 (Python Code)

Max Activating Token Index: 765

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Text #10

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Data Index: 623403 (C4 (Web Text))

Max Activating Token Index: 208

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Text #11

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Data Index: 1431461 (Python Code)

Max Activating Token Index: 81

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Text #12

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Data Index: 1619155 (Python Code)

Max Activating Token Index: 184

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Text #13

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Data Index: 1499962 (Python Code)

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Text #14

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Max Act: 2.6826. Min Act: -0.1700

Data Index: 180396 (C4 (Web Text))

Max Activating Token Index: 283

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Text #15

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Data Index: 1581798 (Python Code)

Max Activating Token Index: 214

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Text #16

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Data Index: 1635914 (Python Code)

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Text #17

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Data Index: 1469348 (Python Code)

Max Activating Token Index: 885

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Text #18

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Data Index: 162729 (C4 (Web Text))

Max Activating Token Index: 880

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Text #19

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Max Act: 2.6506. Min Act: -0.1700

Data Index: 520462 (C4 (Web Text))

Max Activating Token Index: 399

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