Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1687 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0729. Min Act: -0.0002

Data Index: 1065012 (C4 (Web Text))

Max Activating Token Index: 150

Text #1

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Max Activating Token Index: 589

Text #2

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Max Act: 0.0719. Min Act: -0.0003

Data Index: 959788 (C4 (Web Text))

Max Activating Token Index: 909

Text #3

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Max Act: 0.0709. Min Act: -0.0002

Data Index: 1108376 (C4 (Web Text))

Max Activating Token Index: 50

Text #4

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Data Index: 503005 (C4 (Web Text))

Max Activating Token Index: 496

Text #5

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Max Act: 0.0695. Min Act: -0.0003

Data Index: 1000199 (C4 (Web Text))

Max Activating Token Index: 640

Text #6

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Max Activating Token Index: 43

Text #7

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Max Activating Token Index: 834

Text #8

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Max Activating Token Index: 114

Text #9

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Max Activating Token Index: 425

Text #10

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Data Index: 134348 (C4 (Web Text))

Max Activating Token Index: 622

Text #11

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Data Index: 1286271 (C4 (Web Text))

Max Activating Token Index: 555

Text #12

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Max Activating Token Index: 115

Text #13

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Max Activating Token Index: 572

Text #14

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Data Index: 549067 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 232

Text #18

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Text #19

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Data Index: 1352457 (C4 (Web Text))

Max Activating Token Index: 499