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

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

Neuron 565 in Layer 1

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

Text #0

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Max Act: 0.0898. Min Act: -0.0003

Data Index: 970496 (C4 (Web Text))

Max Activating Token Index: 631

Text #1

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Max Activating Token Index: 21

Text #2

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Max Act: 0.0898. Min Act: -0.0003

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Max Activating Token Index: 401

Text #3

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Max Act: 0.0813. Min Act: -0.0003

Data Index: 813556 (C4 (Web Text))

Max Activating Token Index: 511

Text #4

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Max Activating Token Index: 441

Text #5

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Text #6

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Max Activating Token Index: 447

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 176

Text #10

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Max Activating Token Index: 89

Text #12

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Text #13

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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: 478

Text #19

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Data Index: 388193 (C4 (Web Text))

Max Activating Token Index: 474