Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2011 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0442. Min Act: -0.0003

Data Index: 42396 (C4 (Web Text))

Max Activating Token Index: 919

Text #1

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Max Act: 0.0433. Min Act: -0.0002

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Max Activating Token Index: 337

Text #2

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 274106 (C4 (Web Text))

Max Activating Token Index: 380

Text #3

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 335862 (C4 (Web Text))

Max Activating Token Index: 849

Text #4

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Max Activating Token Index: 612

Text #5

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Max Activating Token Index: 542

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 944

Text #10

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Max Activating Token Index: 786

Text #11

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Max Activating Token Index: 667

Text #12

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Max Activating Token Index: 142

Text #13

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Max Activating Token Index: 398

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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Text #19

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Data Index: 868021 (C4 (Web Text))

Max Activating Token Index: 319