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

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

Neuron 884 in Layer 0

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

Text #0

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Max Act: 3.4004. Min Act: -0.1700

Data Index: 372972 (C4 (Web Text))

Max Activating Token Index: 379

Text #1

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Max Activating Token Index: 904

Text #2

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Max Activating Token Index: 795

Text #3

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Data Index: 456970 (C4 (Web Text))

Max Activating Token Index: 117

Text #4

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Max Activating Token Index: 73

Text #5

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Max Act: 3.2905. Min Act: -0.1700

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Max Activating Token Index: 407

Text #6

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Max Activating Token Index: 269

Text #7

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Text #8

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Max Activating Token Index: 507

Text #9

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Max Activating Token Index: 167

Text #10

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Data Index: 1615411 (Python Code)

Max Activating Token Index: 95

Text #11

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Data Index: 728921 (C4 (Web Text))

Max Activating Token Index: 454

Text #12

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Max Activating Token Index: 132

Text #13

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Max Activating Token Index: 15

Text #14

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Data Index: 197633 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 149

Text #19

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Data Index: 354141 (C4 (Web Text))

Max Activating Token Index: 130