Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 296 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0694. Min Act: -0.0002

Data Index: 235478 (C4 (Web Text))

Max Activating Token Index: 1014

Text #1

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Max Act: 0.0699. Min Act: -0.0002

Data Index: 115663 (C4 (Web Text))

Max Activating Token Index: 214

Text #2

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Max Act: 0.0682. Min Act: -0.0002

Data Index: 356061 (C4 (Web Text))

Max Activating Token Index: 207

Text #3

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Max Act: 0.0681. Min Act: -0.0002

Data Index: 868336 (C4 (Web Text))

Max Activating Token Index: 275

Text #4

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Max Act: 0.0712. Min Act: -0.0002

Data Index: 580662 (C4 (Web Text))

Max Activating Token Index: 461

Text #5

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Data Index: 912434 (C4 (Web Text))

Max Activating Token Index: 385

Text #6

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Max Activating Token Index: 1008

Text #7

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Data Index: 496198 (C4 (Web Text))

Max Activating Token Index: 729

Text #8

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Data Index: 817228 (C4 (Web Text))

Max Activating Token Index: 450

Text #9

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Data Index: 762815 (C4 (Web Text))

Max Activating Token Index: 285

Text #10

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Data Index: 1153994 (C4 (Web Text))

Max Activating Token Index: 978

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Max Activating Token Index: 231

Text #12

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Data Index: 481738 (C4 (Web Text))

Max Activating Token Index: 270

Text #13

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Data Index: 817004 (C4 (Web Text))

Max Activating Token Index: 258

Text #14

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Data Index: 700392 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 186683 (C4 (Web Text))

Max Activating Token Index: 348

Text #19

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Data Index: 553208 (C4 (Web Text))

Max Activating Token Index: 110