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

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

Neuron 458 in Layer 0

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

Text #0

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Max Act: 3.2602. Min Act: -0.1700

Data Index: 30214 (C4 (Web Text))

Max Activating Token Index: 227

Text #1

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Data Index: 405383 (C4 (Web Text))

Max Activating Token Index: 721

Text #2

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Data Index: 400563 (C4 (Web Text))

Max Activating Token Index: 519

Text #3

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Max Act: 3.1501. Min Act: -0.1700

Data Index: 308181 (C4 (Web Text))

Max Activating Token Index: 520

Text #4

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Data Index: 898062 (C4 (Web Text))

Max Activating Token Index: 724

Text #5

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Data Index: 290798 (C4 (Web Text))

Max Activating Token Index: 473

Text #6

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Max Activating Token Index: 820

Text #7

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Max Activating Token Index: 621

Text #8

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Data Index: 1447445 (Python Code)

Max Activating Token Index: 336

Text #9

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Max Activating Token Index: 261

Text #10

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Max Activating Token Index: 385

Text #11

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Max Activating Token Index: 592

Text #12

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Max Activating Token Index: 601

Text #13

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Max Activating Token Index: 364

Text #14

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Text #15

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Max Activating Token Index: 98

Text #16

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Max Activating Token Index: 295

Text #17

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Max Activating Token Index: 401

Text #18

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Data Index: 191603 (C4 (Web Text))

Max Activating Token Index: 445

Text #19

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Data Index: 278522 (C4 (Web Text))

Max Activating Token Index: 292