Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4814 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 746959 (C4 (Web Text))

Max Activating Token Index: 410

Text #1

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 1100376 (C4 (Web Text))

Max Activating Token Index: 964

Text #2

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 854955 (C4 (Web Text))

Max Activating Token Index: 37

Text #3

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 556350 (C4 (Web Text))

Max Activating Token Index: 310

Text #4

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 305763 (C4 (Web Text))

Max Activating Token Index: 365

Text #5

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Data Index: 763990 (C4 (Web Text))

Max Activating Token Index: 188

Text #6

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Max Activating Token Index: 599

Text #7

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Max Activating Token Index: 219

Text #8

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Data Index: 668066 (C4 (Web Text))

Max Activating Token Index: 236

Text #9

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Max Activating Token Index: 734

Text #10

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Max Activating Token Index: 883

Text #11

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Max Activating Token Index: 444

Text #12

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Max Activating Token Index: 863

Text #13

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Data Index: 122022 (C4 (Web Text))

Max Activating Token Index: 556

Text #14

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Max Activating Token Index: 66

Text #15

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Text #16

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Max Activating Token Index: 541

Text #17

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Data Index: 25163 (C4 (Web Text))

Max Activating Token Index: 755

Text #18

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Data Index: 805240 (C4 (Web Text))

Max Activating Token Index: 486

Text #19

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Data Index: 225569 (C4 (Web Text))

Max Activating Token Index: 251