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

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

Neuron 962 in Layer 0

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

Text #0

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Data Index: 414895 (C4 (Web Text))

Max Activating Token Index: 68

Text #1

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Data Index: 59930 (C4 (Web Text))

Max Activating Token Index: 554

Text #2

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Max Act: 0.0097. Min Act: -0.0005

Data Index: 71480 (C4 (Web Text))

Max Activating Token Index: 448

Text #3

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 300320 (C4 (Web Text))

Max Activating Token Index: 262

Text #4

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Data Index: 919670 (C4 (Web Text))

Max Activating Token Index: 137

Text #5

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Data Index: 110944 (C4 (Web Text))

Max Activating Token Index: 525

Text #6

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Max Activating Token Index: 1006

Text #7

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Text #8

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Text #9

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Data Index: 950661 (C4 (Web Text))

Max Activating Token Index: 449

Text #10

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Max Activating Token Index: 442

Text #11

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Max Activating Token Index: 108

Text #12

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Max Activating Token Index: 485

Text #13

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Max Activating Token Index: 65

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 433

Text #19

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Data Index: 525668 (C4 (Web Text))

Max Activating Token Index: 856