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

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

Neuron 737 in Layer 1

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

Text #0

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 1344641 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Data Index: 1111303 (C4 (Web Text))

Max Activating Token Index: 916

Text #2

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Max Act: 0.0466. Min Act: -0.0003

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Max Activating Token Index: 912

Text #3

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Max Act: 0.0464. Min Act: -0.0003

Data Index: 578142 (C4 (Web Text))

Max Activating Token Index: 468

Text #4

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Data Index: 1051946 (C4 (Web Text))

Max Activating Token Index: 941

Text #5

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Max Activating Token Index: 282

Text #6

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Max Activating Token Index: 529

Text #7

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Max Activating Token Index: 378

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 637

Text #11

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Max Activating Token Index: 510

Text #12

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Max Activating Token Index: 645

Text #13

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Max Activating Token Index: 18

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 623

Text #18

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Max Activating Token Index: 959

Text #19

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Data Index: 1120737 (C4 (Web Text))

Max Activating Token Index: 255