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

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

Neuron 1985 in Layer 0

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

Text #0

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Max Act: 0.0228. Min Act: -0.0005

Data Index: 957271 (C4 (Web Text))

Max Activating Token Index: 927

Text #1

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Data Index: 340004 (C4 (Web Text))

Max Activating Token Index: 154

Text #2

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Max Activating Token Index: 923

Text #3

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 614294 (C4 (Web Text))

Max Activating Token Index: 476

Text #4

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Max Activating Token Index: 1004

Text #5

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Max Activating Token Index: 377

Text #6

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Text #7

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Max Activating Token Index: 492

Text #8

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Max Activating Token Index: 696

Text #9

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Max Activating Token Index: 15

Text #10

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Max Activating Token Index: 410

Text #11

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Max Activating Token Index: 761

Text #12

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Max Activating Token Index: 213

Text #13

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Max Activating Token Index: 944

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: 379

Text #18

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Max Activating Token Index: 421

Text #19

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Data Index: 104482 (C4 (Web Text))

Max Activating Token Index: 67