Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1011 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')

Text #0

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Max Act: 3.0936. Min Act: -0.1700

Data Index: 163753 (C4 (Web Text))

Max Activating Token Index: 358

Text #1

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Data Index: 236122 (C4 (Web Text))

Max Activating Token Index: 230

Text #2

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Max Activating Token Index: 677

Text #3

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Max Act: 3.0147. Min Act: -0.1700

Data Index: 408559 (C4 (Web Text))

Max Activating Token Index: 608

Text #4

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Max Activating Token Index: 758

Text #5

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Max Activating Token Index: 298

Text #6

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Data Index: 501635 (C4 (Web Text))

Max Activating Token Index: 358

Text #7

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Data Index: 410494 (C4 (Web Text))

Max Activating Token Index: 467

Text #8

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Max Activating Token Index: 552

Text #9

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Max Activating Token Index: 868

Text #10

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Max Activating Token Index: 492

Text #11

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Max Activating Token Index: 440

Text #12

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Max Activating Token Index: 447

Text #13

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Max Activating Token Index: 615

Text #14

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Max Activating Token Index: 465

Text #15

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Text #16

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Max Activating Token Index: 158

Text #17

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Max Activating Token Index: 386

Text #18

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Max Activating Token Index: 276

Text #19

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Data Index: 738828 (C4 (Web Text))

Max Activating Token Index: 325