Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 30 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0665. Min Act: -0.0003

Data Index: 936476 (C4 (Web Text))

Max Activating Token Index: 112

Text #1

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Max Act: 0.0653. Min Act: -0.0003

Data Index: 246953 (C4 (Web Text))

Max Activating Token Index: 170

Text #2

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Max Act: 0.0602. Min Act: -0.0003

Data Index: 315435 (C4 (Web Text))

Max Activating Token Index: 102

Text #3

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Max Act: 0.0672. Min Act: -0.0003

Data Index: 324355 (C4 (Web Text))

Max Activating Token Index: 131

Text #4

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 640618 (C4 (Web Text))

Max Activating Token Index: 163

Text #5

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Max Act: 0.0541. Min Act: -0.0003

Data Index: 445981 (C4 (Web Text))

Max Activating Token Index: 247

Text #6

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Data Index: 762828 (C4 (Web Text))

Max Activating Token Index: 138

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Data Index: 247896 (C4 (Web Text))

Max Activating Token Index: 168

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Data Index: 316665 (C4 (Web Text))

Max Activating Token Index: 124

Text #9

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Data Index: 613013 (C4 (Web Text))

Max Activating Token Index: 236

Text #10

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Max Activating Token Index: 155

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Data Index: 796417 (C4 (Web Text))

Max Activating Token Index: 247

Text #12

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Max Activating Token Index: 63

Text #13

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Data Index: 507226 (C4 (Web Text))

Max Activating Token Index: 459

Text #14

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Max Activating Token Index: 215

Text #15

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Text #16

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Max Activating Token Index: 176

Text #17

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Max Activating Token Index: 255

Text #18

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Data Index: 162666 (C4 (Web Text))

Max Activating Token Index: 129

Text #19

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Max Act: 0.0514. Min Act: -0.0003

Data Index: 285240 (C4 (Web Text))

Max Activating Token Index: 59