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

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

Neuron 1668 in Layer 0

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

Text #0

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Max Act: 0.0136. Min Act: -0.0005

Data Index: 1025215 (C4 (Web Text))

Max Activating Token Index: 170

Text #1

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Data Index: 84515 (C4 (Web Text))

Max Activating Token Index: 46

Text #2

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Max Act: 0.0128. Min Act: -0.0004

Data Index: 159055 (C4 (Web Text))

Max Activating Token Index: 809

Text #3

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 331798 (C4 (Web Text))

Max Activating Token Index: 375

Text #4

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 713300 (C4 (Web Text))

Max Activating Token Index: 64

Text #5

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Data Index: 908905 (C4 (Web Text))

Max Activating Token Index: 21

Text #6

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Max Activating Token Index: 92

Text #7

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Max Activating Token Index: 376

Text #8

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Max Activating Token Index: 856

Text #9

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Data Index: 387176 (C4 (Web Text))

Max Activating Token Index: 718

Text #10

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Max Activating Token Index: 165

Text #11

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Max Activating Token Index: 174

Text #12

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Max Activating Token Index: 563

Text #13

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Data Index: 707916 (C4 (Web Text))

Max Activating Token Index: 22

Text #14

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Max Activating Token Index: 486

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 9

Text #18

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Data Index: 660333 (C4 (Web Text))

Max Activating Token Index: 282

Text #19

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Max Act: 0.0118. Min Act: -0.0004

Data Index: 160279 (C4 (Web Text))

Max Activating Token Index: 427