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

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

Neuron 40 in Layer 1

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

Text #0

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Max Act: 0.0310. Min Act: -0.0006

Data Index: 582483 (C4 (Web Text))

Max Activating Token Index: 181

Text #1

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 1351219 (C4 (Web Text))

Max Activating Token Index: 609

Text #2

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Max Act: 0.0311. Min Act: -0.0006

Data Index: 55782 (C4 (Web Text))

Max Activating Token Index: 286

Text #3

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Max Act: 0.0304. Min Act: -0.0006

Data Index: 158079 (C4 (Web Text))

Max Activating Token Index: 152

Text #4

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Max Act: 0.0295. Min Act: -0.0006

Data Index: 1046042 (C4 (Web Text))

Max Activating Token Index: 549

Text #5

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Max Act: 0.0288. Min Act: -0.0006

Data Index: 668663 (C4 (Web Text))

Max Activating Token Index: 667

Text #6

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Max Activating Token Index: 654

Text #7

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 132200 (C4 (Web Text))

Max Activating Token Index: 589

Text #8

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Data Index: 912633 (C4 (Web Text))

Max Activating Token Index: 222

Text #9

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Max Activating Token Index: 1007

Text #10

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Max Activating Token Index: 301

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Data Index: 79230 (C4 (Web Text))

Max Activating Token Index: 291

Text #12

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Data Index: 50820 (C4 (Web Text))

Max Activating Token Index: 484

Text #13

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Data Index: 941655 (C4 (Web Text))

Max Activating Token Index: 58

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 464

Text #18

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Data Index: 339625 (C4 (Web Text))

Max Activating Token Index: 155

Text #19

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Data Index: 179921 (C4 (Web Text))

Max Activating Token Index: 586