Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 320 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 43006 (C4 (Web Text))

Max Activating Token Index: 666

Text #1

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Data Index: 1326913 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Data Index: 854667 (C4 (Web Text))

Max Activating Token Index: 77

Text #3

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Max Act: 0.0109. Min Act: -0.0006

Data Index: 423867 (C4 (Web Text))

Max Activating Token Index: 120

Text #4

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Data Index: 1032854 (C4 (Web Text))

Max Activating Token Index: 139

Text #5

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Max Activating Token Index: 898

Text #6

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Max Activating Token Index: 218

Text #7

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Text #8

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Max Activating Token Index: 256

Text #9

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Text #10

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Max Activating Token Index: 236

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Text #12

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Max Activating Token Index: 120

Text #13

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Max Activating Token Index: 30

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: 407

Text #19

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Data Index: 232127 (C4 (Web Text))

Max Activating Token Index: 690