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

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

Neuron 240 in Layer 0

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

Text #0

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Max Act: 3.1684. Min Act: -0.1700

Data Index: 170519 (C4 (Web Text))

Max Activating Token Index: 317

Text #1

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Max Activating Token Index: 149

Text #2

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Max Act: 3.1211. Min Act: -0.1700

Data Index: 131228 (C4 (Web Text))

Max Activating Token Index: 304

Text #3

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Max Act: 3.1369. Min Act: -0.1700

Data Index: 33922 (C4 (Web Text))

Max Activating Token Index: 734

Text #4

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Data Index: 777109 (C4 (Web Text))

Max Activating Token Index: 256

Text #5

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Max Activating Token Index: 766

Text #6

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Max Activating Token Index: 895

Text #7

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Max Activating Token Index: 555

Text #8

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Max Activating Token Index: 303

Text #9

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Max Activating Token Index: 843

Text #10

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Text #11

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Max Activating Token Index: 840

Text #12

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Max Activating Token Index: 592

Text #13

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Data Index: 183146 (C4 (Web Text))

Max Activating Token Index: 702

Text #14

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Max Activating Token Index: 594

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 805

Text #19

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Data Index: 1291596 (C4 (Web Text))

Max Activating Token Index: 405