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

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

Neuron 773 in Layer 0

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

Text #0

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Max Act: 3.7531. Min Act: -0.1700

Data Index: 164130 (C4 (Web Text))

Max Activating Token Index: 123

Text #1

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Data Index: 77214 (C4 (Web Text))

Max Activating Token Index: 560

Text #2

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Max Activating Token Index: 548

Text #3

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Max Act: 3.7218. Min Act: -0.1700

Data Index: 219360 (C4 (Web Text))

Max Activating Token Index: 329

Text #4

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Data Index: 141153 (C4 (Web Text))

Max Activating Token Index: 494

Text #5

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Max Activating Token Index: 674

Text #6

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Max Activating Token Index: 696

Text #7

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Data Index: 444672 (C4 (Web Text))

Max Activating Token Index: 229

Text #8

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Max Activating Token Index: 137

Text #9

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Max Activating Token Index: 411

Text #10

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Text #11

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Max Activating Token Index: 671

Text #12

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Max Activating Token Index: 228

Text #13

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Max Activating Token Index: 353

Text #14

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Max Activating Token Index: 363

Text #15

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Max Activating Token Index: 362

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 365

Text #19

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Max Act: 3.5966. Min Act: -0.1700

Data Index: 325976 (C4 (Web Text))

Max Activating Token Index: 71