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

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

Neuron 27 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: 5.7277. Min Range: -5.7277

Max Act: 5.7277. Min Act: -0.1700

Data Index: 252524 (C4 (Web Text))

Max Activating Token Index: 832

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Text #1

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Max Act: 5.6652. Min Act: -0.1700

Data Index: 1357972 (C4 (Web Text))

Max Activating Token Index: 226

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Text #2

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Max Act: 5.6027. Min Act: -0.1700

Data Index: 662856 (C4 (Web Text))

Max Activating Token Index: 162

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Text #3

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Max Act: 5.6027. Min Act: -0.1700

Data Index: 762041 (C4 (Web Text))

Max Activating Token Index: 875

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Text #4

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Max Act: 5.6027. Min Act: -0.1700

Data Index: 871667 (C4 (Web Text))

Max Activating Token Index: 211

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Text #5

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Max Act: 5.5090. Min Act: -0.1700

Data Index: 1227142 (C4 (Web Text))

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Text #6

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Data Index: 755769 (C4 (Web Text))

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Text #7

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Data Index: 829280 (C4 (Web Text))

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Text #8

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Data Index: 40732 (C4 (Web Text))

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Text #9

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Data Index: 680092 (C4 (Web Text))

Max Activating Token Index: 730

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Text #10

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Data Index: 1036904 (C4 (Web Text))

Max Activating Token Index: 691

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Text #11

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Data Index: 797325 (C4 (Web Text))

Max Activating Token Index: 148

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Text #12

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Data Index: 1270000 (C4 (Web Text))

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Text #13

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Max Act: 5.5090. Min Act: -0.1700

Data Index: 1093230 (C4 (Web Text))

Max Activating Token Index: 736

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Text #14

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Data Index: 272287 (C4 (Web Text))

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Text #15

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Data Index: 209210 (C4 (Web Text))

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Text #16

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Data Index: 504344 (C4 (Web Text))

Max Activating Token Index: 816

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Text #17

Max Range: 5.7277. Min Range: -5.7277

Max Act: 5.4777. Min Act: -0.1699

Data Index: 641918 (C4 (Web Text))

Max Activating Token Index: 254

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Text #18

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Max Act: 5.4152. Min Act: -0.1700

Data Index: 113701 (C4 (Web Text))

Max Activating Token Index: 615

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Text #19

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Data Index: 766828 (C4 (Web Text))

Max Activating Token Index: 767

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