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

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

Neuron 42 in Layer 0

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

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Text #0

Max Range: 4.4106. Min Range: -4.4106

Max Act: 4.4106. Min Act: -0.1700

Data Index: 356593 (C4 (Web Text))

Max Activating Token Index: 516

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Text #1

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Max Act: 4.3770. Min Act: -0.1700

Data Index: 1554303 (Python Code)

Max Activating Token Index: 357

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Text #2

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Max Act: 4.3327. Min Act: -0.1700

Data Index: 153677 (C4 (Web Text))

Max Activating Token Index: 861

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Text #3

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Max Act: 4.3208. Min Act: -0.1700

Data Index: 1549778 (Python Code)

Max Activating Token Index: 656

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Text #4

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Max Act: 4.2841. Min Act: -0.1700

Data Index: 1416354 (Python Code)

Max Activating Token Index: 283

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Text #5

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Max Act: 4.2715. Min Act: -0.1700

Data Index: 1389998 (Python Code)

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Text #6

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Data Index: 1317491 (C4 (Web Text))

Max Activating Token Index: 281

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Text #7

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Data Index: 229736 (C4 (Web Text))

Max Activating Token Index: 133

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Text #8

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Max Act: 4.2371. Min Act: -0.1700

Data Index: 5804 (C4 (Web Text))

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Text #9

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Data Index: 1582924 (Python Code)

Max Activating Token Index: 537

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Text #10

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Data Index: 1641290 (Python Code)

Max Activating Token Index: 846

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Text #11

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Data Index: 1222031 (C4 (Web Text))

Max Activating Token Index: 890

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Text #12

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Data Index: 1382559 (Python Code)

Max Activating Token Index: 815

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Text #13

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Data Index: 810713 (C4 (Web Text))

Max Activating Token Index: 298

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Text #14

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Data Index: 148404 (C4 (Web Text))

Max Activating Token Index: 286

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Text #15

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Data Index: 1602761 (Python Code)

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Text #16

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Data Index: 517424 (C4 (Web Text))

Max Activating Token Index: 26

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Text #17

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Data Index: 20731 (C4 (Web Text))

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Text #18

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Data Index: 1537150 (Python Code)

Max Activating Token Index: 767

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Text #19

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Data Index: 779037 (C4 (Web Text))

Max Activating Token Index: 376

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