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

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

Neuron 1927 in Layer 0

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

Text #0

Max Range: 0.0115. Min Range: -0.0115

Max Act: 0.0115. Min Act: -0.0005

Data Index: 381246 (C4 (Web Text))

Max Activating Token Index: 112

Text #1

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Data Index: 906776 (C4 (Web Text))

Max Activating Token Index: 890

Text #2

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Data Index: 1213989 (C4 (Web Text))

Max Activating Token Index: 998

Text #3

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Max Act: 0.0105. Min Act: -0.0005

Data Index: 295248 (C4 (Web Text))

Max Activating Token Index: 193

Text #4

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Max Act: 0.0109. Min Act: -0.0005

Data Index: 760694 (C4 (Web Text))

Max Activating Token Index: 183

Text #5

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Max Act: 0.0105. Min Act: -0.0005

Data Index: 1311600 (C4 (Web Text))

Max Activating Token Index: 672

Text #6

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Data Index: 50605 (C4 (Web Text))

Max Activating Token Index: 150

Text #7

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Max Activating Token Index: 479

Text #8

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Max Activating Token Index: 477

Text #9

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Data Index: 112676 (C4 (Web Text))

Max Activating Token Index: 216

Text #10

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Max Activating Token Index: 818

Text #11

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Max Activating Token Index: 191

Text #12

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Data Index: 486229 (C4 (Web Text))

Max Activating Token Index: 519

Text #13

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Data Index: 668800 (C4 (Web Text))

Max Activating Token Index: 809

Text #14

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Data Index: 1337746 (C4 (Web Text))

Max Activating Token Index: 360

Text #15

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Data Index: 700236 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1116144 (C4 (Web Text))

Max Activating Token Index: 532