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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1992 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 3.9415. Min Range: -3.9415

Max Act: 3.9415. Min Act: -0.1700

Data Index: 737738 (C4 (Web Text))

Max Activating Token Index: 270

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Text #1

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Max Act: 3.7321. Min Act: -0.1700

Data Index: 874829 (C4 (Web Text))

Max Activating Token Index: 922

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Text #2

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Max Act: 3.7242. Min Act: -0.1700

Data Index: 1475869 (Python Code)

Max Activating Token Index: 4

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Text #3

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Max Act: 3.7042. Min Act: -0.1700

Data Index: 1398054 (Python Code)

Max Activating Token Index: 8

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Text #4

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Max Act: 3.6570. Min Act: -0.1700

Data Index: 757206 (C4 (Web Text))

Max Activating Token Index: 931

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Text #5

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Max Act: 3.6742. Min Act: -0.1700

Data Index: 1095868 (C4 (Web Text))

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Text #6

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Data Index: 1292300 (C4 (Web Text))

Max Activating Token Index: 872

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Text #7

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Data Index: 1502116 (Python Code)

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Text #8

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Data Index: 1576138 (Python Code)

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Text #9

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Data Index: 1452723 (Python Code)

Max Activating Token Index: 406

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Text #10

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Data Index: 1459965 (Python Code)

Max Activating Token Index: 875

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Text #11

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Data Index: 1369749 (Python Code)

Max Activating Token Index: 32

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Text #12

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Data Index: 1508474 (Python Code)

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Text #13

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Data Index: 1574595 (Python Code)

Max Activating Token Index: 32

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Text #14

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Data Index: 1383975 (Python Code)

Max Activating Token Index: 76

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Text #15

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Data Index: 1516369 (Python Code)

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Text #16

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Data Index: 1605442 (Python Code)

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Text #17

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Data Index: 1507683 (Python Code)

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Text #18

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Data Index: 1466460 (Python Code)

Max Activating Token Index: 493

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Text #19

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Max Act: 3.4847. Min Act: -0.1700

Data Index: 984839 (C4 (Web Text))

Max Activating Token Index: 843

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