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

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

Neuron 1583 in Layer 3

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

Text #0

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Max Act: 0.0414. Min Act: -0.0002

Data Index: 1273985 (C4 (Web Text))

Max Activating Token Index: 800

Text #1

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Max Activating Token Index: 716

Text #2

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Max Activating Token Index: 711

Text #3

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Max Act: 0.0354. Min Act: -0.0001

Data Index: 105887 (C4 (Web Text))

Max Activating Token Index: 951

Text #4

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Data Index: 371457 (C4 (Web Text))

Max Activating Token Index: 608

Text #5

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Data Index: 860079 (C4 (Web Text))

Max Activating Token Index: 356

Text #6

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Max Activating Token Index: 261

Text #7

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Text #8

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Max Activating Token Index: 226

Text #9

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Max Activating Token Index: 917

Text #10

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Data Index: 314592 (C4 (Web Text))

Max Activating Token Index: 811

Text #11

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Max Activating Token Index: 474

Text #12

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Max Activating Token Index: 156

Text #13

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Max Activating Token Index: 401

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: 156

Text #19

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Data Index: 588647 (C4 (Web Text))

Max Activating Token Index: 174