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

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

Neuron 1599 in Layer 0

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

Text #0

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Max Act: 0.0126. Min Act: -0.0006

Data Index: 1411788 (Python Code)

Max Activating Token Index: 957

Text #1

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Max Act: 0.0115. Min Act: -0.0006

Data Index: 1292936 (C4 (Web Text))

Max Activating Token Index: 286

Text #2

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Max Activating Token Index: 1016

Text #3

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Data Index: 1216525 (C4 (Web Text))

Max Activating Token Index: 414

Text #4

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Data Index: 191493 (C4 (Web Text))

Max Activating Token Index: 285

Text #5

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Max Activating Token Index: 357

Text #6

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Max Activating Token Index: 928

Text #8

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Text #9

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 371

Text #14

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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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Max Activating Token Index: 228

Text #19

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Data Index: 788784 (C4 (Web Text))

Max Activating Token Index: 343