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

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

Neuron 218 in Layer 1

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

Text #0

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Max Act: 0.0650. Min Act: -0.0003

Data Index: 560836 (C4 (Web Text))

Max Activating Token Index: 875

Text #1

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Max Act: 0.0647. Min Act: -0.0003

Data Index: 1170390 (C4 (Web Text))

Max Activating Token Index: 803

Text #2

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Max Act: 0.0606. Min Act: -0.0002

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Max Activating Token Index: 991

Text #3

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 879676 (C4 (Web Text))

Max Activating Token Index: 81

Text #4

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Max Act: 0.0548. Min Act: -0.0003

Data Index: 1223114 (C4 (Web Text))

Max Activating Token Index: 456

Text #5

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Data Index: 1386243 (Python Code)

Max Activating Token Index: 855

Text #6

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Max Activating Token Index: 671

Text #7

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Max Activating Token Index: 819

Text #8

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Max Activating Token Index: 66

Text #9

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Max Activating Token Index: 332

Text #10

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Max Activating Token Index: 290

Text #11

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Max Activating Token Index: 910

Text #12

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Max Activating Token Index: 16

Text #13

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Max Activating Token Index: 260

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 254

Text #17

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Max Activating Token Index: 104

Text #18

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Data Index: 531554 (C4 (Web Text))

Max Activating Token Index: 832

Text #19

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Data Index: 170610 (C4 (Web Text))

Max Activating Token Index: 116