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

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

Neuron 1225 in Layer 1

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



Text #0

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Max Act: 4.6422. Min Act: -0.1700

Data Index: 611079 (C4 (Web Text))

Max Activating Token Index: 917

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Text #1

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Max Act: 4.5484. Min Act: -0.1700

Data Index: 1573432 (Python Code)

Max Activating Token Index: 85

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Text #2

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Max Act: 4.5172. Min Act: -0.1700

Data Index: 1297138 (C4 (Web Text))

Max Activating Token Index: 135

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Text #3

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Max Act: 4.4859. Min Act: -0.1700

Data Index: 1257570 (C4 (Web Text))

Max Activating Token Index: 264

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Text #4

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Max Act: 4.4547. Min Act: -0.1700

Data Index: 924720 (C4 (Web Text))

Max Activating Token Index: 920

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Text #5

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Data Index: 24452 (C4 (Web Text))

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Text #6

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Data Index: 419242 (C4 (Web Text))

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Text #7

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Data Index: 880594 (C4 (Web Text))

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Text #8

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Data Index: 978520 (C4 (Web Text))

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Text #9

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Data Index: 637482 (C4 (Web Text))

Max Activating Token Index: 12

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Text #10

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Data Index: 584856 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 225276 (C4 (Web Text))

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Text #13

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Data Index: 72343 (C4 (Web Text))

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Text #14

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Text #15

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Max Act: 4.2984. Min Act: -0.1700

Data Index: 648190 (C4 (Web Text))

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Text #16

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Data Index: 493684 (C4 (Web Text))

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Text #17

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Data Index: 350375 (C4 (Web Text))

Max Activating Token Index: 409

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Text #18

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Max Act: 4.2671. Min Act: -0.1700

Data Index: 810783 (C4 (Web Text))

Max Activating Token Index: 893

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Text #19

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Data Index: 868778 (C4 (Web Text))

Max Activating Token Index: 832

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