Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2438 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0041. Min Act: -0.0004

Data Index: 792914 (C4 (Web Text))

Max Activating Token Index: 605

Text #1

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Max Act: 0.0040. Min Act: -0.0003

Data Index: 1339903 (C4 (Web Text))

Max Activating Token Index: 810

Text #2

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Max Act: 0.0039. Min Act: -0.0003

Data Index: 930197 (C4 (Web Text))

Max Activating Token Index: 800

Text #3

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Max Act: 0.0040. Min Act: -0.0003

Data Index: 327281 (C4 (Web Text))

Max Activating Token Index: 445

Text #4

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Max Act: 0.0039. Min Act: -0.0004

Data Index: 1117386 (C4 (Web Text))

Max Activating Token Index: 307

Text #5

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Max Act: 0.0039. Min Act: -0.0003

Data Index: 897018 (C4 (Web Text))

Max Activating Token Index: 11

Text #6

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Max Activating Token Index: 120

Text #7

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Max Activating Token Index: 741

Text #8

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Data Index: 1207909 (C4 (Web Text))

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Text #9

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Data Index: 1200362 (C4 (Web Text))

Max Activating Token Index: 892

Text #10

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Max Activating Token Index: 48

Text #11

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Max Activating Token Index: 126

Text #12

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Max Activating Token Index: 632

Text #13

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Data Index: 799250 (C4 (Web Text))

Max Activating Token Index: 941

Text #14

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Max Activating Token Index: 653

Text #15

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Data Index: 61513 (C4 (Web Text))

Max Activating Token Index: 273

Text #16

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Text #17

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Max Activating Token Index: 792

Text #18

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Max Activating Token Index: 256

Text #19

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Max Act: 0.0037. Min Act: -0.0003

Data Index: 374357 (C4 (Web Text))

Max Activating Token Index: 793