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

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

Neuron 1680 in Layer 0

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

Text #0

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Data Index: 58891 (C4 (Web Text))

Max Activating Token Index: 96

Text #1

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Max Act: 0.0223. Min Act: -0.0006

Data Index: 176008 (C4 (Web Text))

Max Activating Token Index: 963

Text #2

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Max Act: 0.0212. Min Act: -0.0005

Data Index: 512348 (C4 (Web Text))

Max Activating Token Index: 230

Text #3

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 46483 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Max Act: 0.0210. Min Act: -0.0006

Data Index: 1195362 (C4 (Web Text))

Max Activating Token Index: 863

Text #5

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Max Act: 0.0214. Min Act: -0.0005

Data Index: 1214225 (C4 (Web Text))

Max Activating Token Index: 101

Text #6

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Data Index: 297131 (C4 (Web Text))

Max Activating Token Index: 834

Text #7

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Max Activating Token Index: 194

Text #8

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Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 904

Text #10

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Max Activating Token Index: 737

Text #11

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Max Activating Token Index: 83

Text #12

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Max Activating Token Index: 951

Text #13

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Data Index: 507690 (C4 (Web Text))

Max Activating Token Index: 917

Text #14

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Max Activating Token Index: 190

Text #15

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Max Activating Token Index: 127

Text #16

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Max Activating Token Index: 350

Text #17

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Max Activating Token Index: 193

Text #18

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Data Index: 354265 (C4 (Web Text))

Max Activating Token Index: 159

Text #19

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Data Index: 46004 (C4 (Web Text))

Max Activating Token Index: 800