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

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

Neuron 18 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 5.4000. Min Range: -5.4000

Max Act: 5.4000. Min Act: -0.1700

Data Index: 1108476 (C4 (Web Text))

Max Activating Token Index: 30

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Text #1

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Max Act: 5.1187. Min Act: -0.1700

Data Index: 492587 (C4 (Web Text))

Max Activating Token Index: 114

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Text #2

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Max Act: 5.1500. Min Act: -0.1700

Data Index: 832488 (C4 (Web Text))

Max Activating Token Index: 31

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Text #3

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Max Act: 5.1187. Min Act: -0.1700

Data Index: 991034 (C4 (Web Text))

Max Activating Token Index: 59

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Text #4

Max Range: 5.4000. Min Range: -5.4000

Max Act: 5.0406. Min Act: -0.1700

Data Index: 1092876 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #5

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Max Act: 5.0562. Min Act: -0.1700

Data Index: 1350458 (C4 (Web Text))

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Text #6

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Data Index: 172376 (C4 (Web Text))

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Text #7

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Data Index: 1244008 (C4 (Web Text))

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Text #8

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Data Index: 1523392 (Python Code)

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Text #9

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Max Act: 4.9937. Min Act: -0.1699

Data Index: 1068285 (C4 (Web Text))

Max Activating Token Index: 653

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Text #10

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Data Index: 968863 (C4 (Web Text))

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Text #11

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Data Index: 954769 (C4 (Web Text))

Max Activating Token Index: 304

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Text #12

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Data Index: 540026 (C4 (Web Text))

Max Activating Token Index: 115

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Text #13

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Data Index: 432860 (C4 (Web Text))

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Text #14

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Data Index: 1222103 (C4 (Web Text))

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Text #15

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Data Index: 241905 (C4 (Web Text))

Max Activating Token Index: 854

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Text #16

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Data Index: 981226 (C4 (Web Text))

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Text #17

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Data Index: 1652317 (Python Code)

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Text #18

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Max Act: 4.9781. Min Act: -0.1700

Data Index: 350014 (C4 (Web Text))

Max Activating Token Index: 324

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Text #19

Max Range: 5.4000. Min Range: -5.4000

Max Act: 4.9156. Min Act: -0.1700

Data Index: 695815 (C4 (Web Text))

Max Activating Token Index: 84

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