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

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

Neuron 327 in Layer 0

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



Text #0

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Max Act: 2.6879. Min Act: -0.1700

Data Index: 1428036 (Python Code)

Max Activating Token Index: 535

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Text #1

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Max Act: 2.5593. Min Act: -0.1700

Data Index: 1647831 (Python Code)

Max Activating Token Index: 678

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Text #2

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Max Act: 2.4459. Min Act: -0.1700

Data Index: 459086 (C4 (Web Text))

Max Activating Token Index: 315

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Text #3

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Max Act: 2.4297. Min Act: -0.1700

Data Index: 638898 (C4 (Web Text))

Max Activating Token Index: 661

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Text #4

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Data Index: 479305 (C4 (Web Text))

Max Activating Token Index: 165

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Text #5

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Data Index: 245360 (C4 (Web Text))

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Text #6

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Data Index: 237359 (C4 (Web Text))

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Text #7

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Data Index: 548436 (C4 (Web Text))

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Text #8

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Data Index: 226069 (C4 (Web Text))

Max Activating Token Index: 232

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Text #9

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Data Index: 490644 (C4 (Web Text))

Max Activating Token Index: 962

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Text #10

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Data Index: 887242 (C4 (Web Text))

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Text #11

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Data Index: 587886 (C4 (Web Text))

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Text #12

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Data Index: 894788 (C4 (Web Text))

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Text #13

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Data Index: 1009266 (C4 (Web Text))

Max Activating Token Index: 702

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Text #14

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Text #15

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Data Index: 680899 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 934

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Text #17

Max Range: 2.6879. Min Range: -2.6879

Max Act: 2.3480. Min Act: -0.1700

Data Index: 856586 (C4 (Web Text))

Max Activating Token Index: 597

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Text #18

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Max Act: 2.3317. Min Act: -0.1700

Data Index: 788161 (C4 (Web Text))

Max Activating Token Index: 858

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Text #19

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Data Index: 1332922 (C4 (Web Text))

Max Activating Token Index: 73

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