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

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

Neuron 366 in Layer 0

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

Text #0

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 944709 (C4 (Web Text))

Max Activating Token Index: 768

Text #1

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Max Act: 0.0144. Min Act: -0.0004

Data Index: 731419 (C4 (Web Text))

Max Activating Token Index: 852

Text #2

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Max Act: 0.0135. Min Act: -0.0004

Data Index: 117871 (C4 (Web Text))

Max Activating Token Index: 950

Text #3

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Max Act: 0.0134. Min Act: -0.0004

Data Index: 1053048 (C4 (Web Text))

Max Activating Token Index: 600

Text #4

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Max Act: 0.0133. Min Act: -0.0004

Data Index: 1109110 (C4 (Web Text))

Max Activating Token Index: 378

Text #5

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Max Activating Token Index: 49

Text #6

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Max Activating Token Index: 271

Text #7

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Data Index: 320652 (C4 (Web Text))

Max Activating Token Index: 512

Text #8

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Data Index: 37799 (C4 (Web Text))

Max Activating Token Index: 1015

Text #9

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Data Index: 457763 (C4 (Web Text))

Max Activating Token Index: 188

Text #10

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Max Activating Token Index: 504

Text #11

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Max Activating Token Index: 88

Text #12

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Max Activating Token Index: 22

Text #13

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Data Index: 168438 (C4 (Web Text))

Max Activating Token Index: 941

Text #14

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Max Activating Token Index: 430

Text #15

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Text #16

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Max Activating Token Index: 416

Text #17

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Max Activating Token Index: 912

Text #18

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Data Index: 28433 (C4 (Web Text))

Max Activating Token Index: 585

Text #19

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 411572 (C4 (Web Text))

Max Activating Token Index: 395