Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3093 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0042. Min Act: -0.0002

Data Index: 1334906 (C4 (Web Text))

Max Activating Token Index: 356

Text #1

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Max Act: 0.0036. Min Act: -0.0002

Data Index: 824477 (C4 (Web Text))

Max Activating Token Index: 314

Text #2

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Max Act: 0.0035. Min Act: -0.0002

Data Index: 1148269 (C4 (Web Text))

Max Activating Token Index: 417

Text #3

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Max Act: 0.0032. Min Act: -0.0002

Data Index: 929620 (C4 (Web Text))

Max Activating Token Index: 236

Text #4

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Max Act: 0.0031. Min Act: -0.0002

Data Index: 1028724 (C4 (Web Text))

Max Activating Token Index: 598

Text #5

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Data Index: 1203862 (C4 (Web Text))

Max Activating Token Index: 242

Text #6

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Max Activating Token Index: 182

Text #7

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Max Activating Token Index: 159

Text #8

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Data Index: 458642 (C4 (Web Text))

Max Activating Token Index: 175

Text #9

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Data Index: 1184152 (C4 (Web Text))

Max Activating Token Index: 528

Text #10

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Max Activating Token Index: 726

Text #11

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Max Activating Token Index: 195

Text #12

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Data Index: 349652 (C4 (Web Text))

Max Activating Token Index: 232

Text #13

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Data Index: 212339 (C4 (Web Text))

Max Activating Token Index: 138

Text #14

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Data Index: 733072 (C4 (Web Text))

Max Activating Token Index: 203

Text #15

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Text #16

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Text #17

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Data Index: 426913 (C4 (Web Text))

Max Activating Token Index: 362

Text #18

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Max Activating Token Index: 826

Text #19

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Data Index: 1021905 (C4 (Web Text))

Max Activating Token Index: 92