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

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

Neuron 985 in Layer 0

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

Text #0

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 1042750 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 587331 (C4 (Web Text))

Max Activating Token Index: 457

Text #2

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 398640 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0187. Min Act: -0.0004

Data Index: 601907 (C4 (Web Text))

Max Activating Token Index: 807

Text #4

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Data Index: 822465 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Activating Token Index: 563

Text #6

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Data Index: 380457 (C4 (Web Text))

Max Activating Token Index: 848

Text #7

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Max Activating Token Index: 903

Text #8

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Max Activating Token Index: 144

Text #9

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Max Activating Token Index: 720

Text #10

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Data Index: 476602 (C4 (Web Text))

Max Activating Token Index: 442

Text #11

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Max Activating Token Index: 867

Text #12

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Max Activating Token Index: 1023

Text #13

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Data Index: 434975 (C4 (Web Text))

Max Activating Token Index: 820

Text #14

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Data Index: 228211 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Max Activating Token Index: 1023

Text #16

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Text #17

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Max Activating Token Index: 1023

Text #18

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Max Activating Token Index: 735

Text #19

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Data Index: 1194879 (C4 (Web Text))

Max Activating Token Index: 706