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

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

Neuron 1948 in Layer 1

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

Text #0

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Max Act: 0.0488. Min Act: -0.0003

Data Index: 784567 (C4 (Web Text))

Max Activating Token Index: 213

Text #1

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Max Act: 0.0456. Min Act: -0.0002

Data Index: 408943 (C4 (Web Text))

Max Activating Token Index: 301

Text #2

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Max Act: 0.0452. Min Act: -0.0002

Data Index: 285476 (C4 (Web Text))

Max Activating Token Index: 77

Text #3

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 480287 (C4 (Web Text))

Max Activating Token Index: 92

Text #4

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Data Index: 132837 (C4 (Web Text))

Max Activating Token Index: 172

Text #5

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Data Index: 172042 (C4 (Web Text))

Max Activating Token Index: 341

Text #6

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Max Activating Token Index: 248

Text #7

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Data Index: 70641 (C4 (Web Text))

Max Activating Token Index: 294

Text #8

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Data Index: 788331 (C4 (Web Text))

Max Activating Token Index: 122

Text #9

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Max Activating Token Index: 90

Text #10

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Max Activating Token Index: 235

Text #11

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Max Activating Token Index: 372

Text #12

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Max Activating Token Index: 109

Text #13

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Max Activating Token Index: 269

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: 365

Text #18

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Max Activating Token Index: 804

Text #19

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 982309 (C4 (Web Text))

Max Activating Token Index: 363