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

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

Neuron 633 in Layer 1

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



Text #0

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Max Act: 3.5046. Min Act: -0.1700

Data Index: 48193 (C4 (Web Text))

Max Activating Token Index: 795

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Text #1

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Max Act: 3.3948. Min Act: -0.1700

Data Index: 1593407 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 3.3948. Min Act: -0.1700

Data Index: 713574 (C4 (Web Text))

Max Activating Token Index: 808

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Text #3

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Max Act: 3.3164. Min Act: -0.1700

Data Index: 1357269 (C4 (Web Text))

Max Activating Token Index: 766

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Text #4

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Data Index: 1308562 (C4 (Web Text))

Max Activating Token Index: 220

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Text #5

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Data Index: 1283630 (C4 (Web Text))

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Text #6

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Data Index: 277828 (C4 (Web Text))

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Text #7

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Data Index: 107374 (C4 (Web Text))

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Text #8

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Data Index: 454979 (C4 (Web Text))

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Text #9

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Data Index: 1372094 (Python Code)

Max Activating Token Index: 862

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Text #10

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Data Index: 725877 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1121561 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 208555 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 598091 (C4 (Web Text))

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Text #18

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Data Index: 249192 (C4 (Web Text))

Max Activating Token Index: 734

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Text #19

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Data Index: 1182150 (C4 (Web Text))

Max Activating Token Index: 456

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