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

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

Neuron 10 in Layer 3

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

Text #0

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Max Act: 0.0506. Min Act: -0.0002

Data Index: 313605 (C4 (Web Text))

Max Activating Token Index: 618

Text #1

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Max Activating Token Index: 944

Text #2

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Max Activating Token Index: 425

Text #3

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Data Index: 934210 (C4 (Web Text))

Max Activating Token Index: 219

Text #4

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Max Activating Token Index: 331

Text #5

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Max Activating Token Index: 363

Text #6

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Max Activating Token Index: 780

Text #9

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Max Activating Token Index: 221

Text #10

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Max Activating Token Index: 74

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Text #13

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Max Activating Token Index: 358

Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1202435 (C4 (Web Text))

Max Activating Token Index: 823