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

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

Neuron 1091 in Layer 0

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

Text #0

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Max Act: 0.0191. Min Act: -0.0004

Data Index: 1099955 (C4 (Web Text))

Max Activating Token Index: 999

Text #1

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Data Index: 423842 (C4 (Web Text))

Max Activating Token Index: 463

Text #2

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Max Act: 0.0181. Min Act: -0.0005

Data Index: 589863 (C4 (Web Text))

Max Activating Token Index: 87

Text #3

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 128942 (C4 (Web Text))

Max Activating Token Index: 14

Text #4

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 957255 (C4 (Web Text))

Max Activating Token Index: 614

Text #5

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Data Index: 105091 (C4 (Web Text))

Max Activating Token Index: 332

Text #6

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Max Activating Token Index: 627

Text #7

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Text #8

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Max Activating Token Index: 264

Text #9

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Data Index: 1163977 (C4 (Web Text))

Max Activating Token Index: 625

Text #10

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Max Activating Token Index: 4

Text #11

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Data Index: 226606 (C4 (Web Text))

Max Activating Token Index: 640

Text #12

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Data Index: 235219 (C4 (Web Text))

Max Activating Token Index: 36

Text #13

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Data Index: 551795 (C4 (Web Text))

Max Activating Token Index: 464

Text #14

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Data Index: 295165 (C4 (Web Text))

Max Activating Token Index: 291

Text #15

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Max Activating Token Index: 54

Text #16

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Text #17

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Max Activating Token Index: 402

Text #18

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Max Activating Token Index: 526

Text #19

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Data Index: 896434 (C4 (Web Text))

Max Activating Token Index: 1010