Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1060 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0464. Min Act: -0.0003

Data Index: 1632583 (Python Code)

Max Activating Token Index: 653

Text #1

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Max Act: 0.0456. Min Act: -0.0003

Data Index: 1238764 (C4 (Web Text))

Max Activating Token Index: 991

Text #2

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 578922 (C4 (Web Text))

Max Activating Token Index: 978

Text #3

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 1318960 (C4 (Web Text))

Max Activating Token Index: 161

Text #4

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Data Index: 401633 (C4 (Web Text))

Max Activating Token Index: 871

Text #5

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Max Activating Token Index: 27

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #12

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Max Activating Token Index: 339

Text #13

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Max Activating Token Index: 48

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: 389445 (C4 (Web Text))

Max Activating Token Index: 214