Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1001 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Max Act: 3.3865. Min Act: -0.1700

Data Index: 355120 (C4 (Web Text))

Max Activating Token Index: 804

Text #1

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Max Activating Token Index: 159

Text #2

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Max Activating Token Index: 521

Text #3

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Max Act: 3.1350. Min Act: -0.1700

Data Index: 301439 (C4 (Web Text))

Max Activating Token Index: 698

Text #4

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Max Activating Token Index: 845

Text #5

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Max Activating Token Index: 159

Text #6

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Max Activating Token Index: 614

Text #7

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Max Activating Token Index: 646

Text #8

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Max Activating Token Index: 287

Text #9

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Max Activating Token Index: 372

Text #10

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Max Activating Token Index: 491

Text #11

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Max Activating Token Index: 439

Text #12

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Max Activating Token Index: 949

Text #13

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Max Activating Token Index: 459

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 302

Text #18

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Max Activating Token Index: 825

Text #19

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Data Index: 279835 (C4 (Web Text))

Max Activating Token Index: 620