Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 538 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0116. Min Act: -0.0006

Data Index: 144148 (C4 (Web Text))

Max Activating Token Index: 139

Text #1

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Max Act: 0.0118. Min Act: -0.0006

Data Index: 858471 (C4 (Web Text))

Max Activating Token Index: 264

Text #2

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 403329 (C4 (Web Text))

Max Activating Token Index: 378

Text #3

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 809242 (C4 (Web Text))

Max Activating Token Index: 587

Text #4

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Max Act: 0.0111. Min Act: -0.0006

Data Index: 125026 (C4 (Web Text))

Max Activating Token Index: 846

Text #5

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Max Act: 0.0107. Min Act: -0.0007

Data Index: 58263 (C4 (Web Text))

Max Activating Token Index: 318

Text #6

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Max Activating Token Index: 697

Text #7

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Data Index: 248143 (C4 (Web Text))

Max Activating Token Index: 314

Text #8

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Max Activating Token Index: 91

Text #9

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Max Activating Token Index: 931

Text #10

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Max Activating Token Index: 426

Text #11

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Max Activating Token Index: 669

Text #12

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Max Activating Token Index: 636

Text #13

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Data Index: 708983 (C4 (Web Text))

Max Activating Token Index: 697

Text #14

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Data Index: 456854 (C4 (Web Text))

Max Activating Token Index: 481

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 768

Text #18

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Data Index: 12290 (C4 (Web Text))

Max Activating Token Index: 671

Text #19

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 314961 (C4 (Web Text))

Max Activating Token Index: 63