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

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

Neuron 16 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 5.1245. Min Range: -5.1245

Max Act: 5.1245. Min Act: -0.1700

Data Index: 390030 (C4 (Web Text))

Max Activating Token Index: 870

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Text #1

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Max Act: 4.8745. Min Act: -0.1700

Data Index: 1123986 (C4 (Web Text))

Max Activating Token Index: 265

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Text #2

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Max Act: 4.8120. Min Act: -0.1700

Data Index: 116149 (C4 (Web Text))

Max Activating Token Index: 907

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Text #3

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Max Act: 4.8120. Min Act: -0.1700

Data Index: 820659 (C4 (Web Text))

Max Activating Token Index: 180

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Text #4

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Max Act: 4.7495. Min Act: -0.1700

Data Index: 788536 (C4 (Web Text))

Max Activating Token Index: 465

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Text #5

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Max Act: 4.7182. Min Act: -0.1700

Data Index: 178825 (C4 (Web Text))

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Text #6

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Data Index: 506340 (C4 (Web Text))

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Text #7

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Data Index: 236942 (C4 (Web Text))

Max Activating Token Index: 936

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Text #8

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Max Act: 4.7182. Min Act: -0.1700

Data Index: 947047 (C4 (Web Text))

Max Activating Token Index: 895

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Text #9

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Data Index: 961270 (C4 (Web Text))

Max Activating Token Index: 580

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Text #10

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Data Index: 383883 (C4 (Web Text))

Max Activating Token Index: 113

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Text #11

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Data Index: 443042 (C4 (Web Text))

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Text #12

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Data Index: 681619 (C4 (Web Text))

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Text #13

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Max Act: 4.5620. Min Act: -0.1700

Data Index: 239148 (C4 (Web Text))

Max Activating Token Index: 631

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Text #14

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Data Index: 575252 (C4 (Web Text))

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Text #15

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Data Index: 1069920 (C4 (Web Text))

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Text #16

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Data Index: 34228 (C4 (Web Text))

Max Activating Token Index: 182

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Text #17

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Max Act: 4.5620. Min Act: -0.1700

Data Index: 868577 (C4 (Web Text))

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Text #18

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Max Act: 4.5307. Min Act: -0.1700

Data Index: 1303493 (C4 (Web Text))

Max Activating Token Index: 760

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Text #19

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Max Act: 4.5620. Min Act: -0.1700

Data Index: 847367 (C4 (Web Text))

Max Activating Token Index: 287

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