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

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

Neuron 1081 in Layer 0

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

Text #0

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 329137 (C4 (Web Text))

Max Activating Token Index: 505

Text #1

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Data Index: 251005 (C4 (Web Text))

Max Activating Token Index: 400

Text #2

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Max Activating Token Index: 845

Text #3

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Data Index: 142327 (C4 (Web Text))

Max Activating Token Index: 651

Text #4

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Max Act: 0.0070. Min Act: -0.0006

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Max Activating Token Index: 797

Text #5

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Max Activating Token Index: 200

Text #6

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Max Activating Token Index: 156

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 238

Text #10

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Max Activating Token Index: 890

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Text #12

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Text #13

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Max Activating Token Index: 12

Text #14

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Max Activating Token Index: 179

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: 768

Text #19

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Data Index: 288654 (C4 (Web Text))

Max Activating Token Index: 12