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

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

Neuron 1626 in Layer 2

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

Text #0

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Max Act: 0.0545. Min Act: -0.0005

Data Index: 291436 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Act: 0.0527. Min Act: -0.0005

Data Index: 1144397 (C4 (Web Text))

Max Activating Token Index: 853

Text #2

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Max Act: 0.0505. Min Act: -0.0005

Data Index: 1612 (C4 (Web Text))

Max Activating Token Index: 118

Text #3

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Max Act: 0.0497. Min Act: -0.0005

Data Index: 159481 (C4 (Web Text))

Max Activating Token Index: 103

Text #4

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Data Index: 1971 (C4 (Web Text))

Max Activating Token Index: 129

Text #5

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Max Act: 0.0453. Min Act: -0.0005

Data Index: 1009944 (C4 (Web Text))

Max Activating Token Index: 381

Text #6

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Max Activating Token Index: 125

Text #7

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Max Activating Token Index: 755

Text #8

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Max Activating Token Index: 783

Text #9

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Max Activating Token Index: 826

Text #10

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Max Activating Token Index: 253

Text #11

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Max Activating Token Index: 29

Text #12

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Max Activating Token Index: 78

Text #13

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Max Activating Token Index: 609

Text #14

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Max Activating Token Index: 442

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 716

Text #18

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Max Activating Token Index: 58

Text #19

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Data Index: 46758 (C4 (Web Text))

Max Activating Token Index: 298