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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 3 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 4.9932. Min Range: -4.9932

Max Act: 4.9932. Min Act: -0.1700

Data Index: 378616 (C4 (Web Text))

Max Activating Token Index: 133

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Text #1

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Max Act: 4.7119. Min Act: -0.1700

Data Index: 1106621 (C4 (Web Text))

Max Activating Token Index: 643

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Text #2

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Max Act: 4.7119. Min Act: -0.1700

Data Index: 894854 (C4 (Web Text))

Max Activating Token Index: 364

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Text #3

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Max Act: 4.7119. Min Act: -0.1700

Data Index: 831307 (C4 (Web Text))

Max Activating Token Index: 749

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Text #4

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Data Index: 939423 (C4 (Web Text))

Max Activating Token Index: 916

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Text #5

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Data Index: 731186 (C4 (Web Text))

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Text #6

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Data Index: 129535 (C4 (Web Text))

Max Activating Token Index: 13

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Text #7

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Data Index: 268307 (C4 (Web Text))

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Text #8

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Max Act: 4.5869. Min Act: -0.1700

Data Index: 984325 (C4 (Web Text))

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Text #9

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Data Index: 61 (C4 (Web Text))

Max Activating Token Index: 867

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Text #10

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Data Index: 537908 (C4 (Web Text))

Max Activating Token Index: 44

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Text #11

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Data Index: 1128388 (C4 (Web Text))

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Text #12

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Data Index: 300448 (C4 (Web Text))

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Text #13

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Data Index: 234004 (C4 (Web Text))

Max Activating Token Index: 16

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Text #14

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Data Index: 324145 (C4 (Web Text))

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Text #15

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Max Act: 4.4619. Min Act: -0.1700

Data Index: 1059111 (C4 (Web Text))

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Text #16

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Data Index: 813435 (C4 (Web Text))

Max Activating Token Index: 915

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Text #17

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Max Act: 4.4619. Min Act: -0.1700

Data Index: 96296 (C4 (Web Text))

Max Activating Token Index: 592

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Text #18

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Max Act: 4.4619. Min Act: -0.1700

Data Index: 1082542 (C4 (Web Text))

Max Activating Token Index: 152

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Text #19

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Max Act: 4.3994. Min Act: -0.1700

Data Index: 898578 (C4 (Web Text))

Max Activating Token Index: 281

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