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

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

Neuron 812 in Layer 1

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

Text #0

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Max Act: 0.0618. Min Act: -0.0003

Data Index: 500233 (C4 (Web Text))

Max Activating Token Index: 836

Text #1

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Max Act: 0.0590. Min Act: -0.0003

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Max Activating Token Index: 73

Text #2

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Max Act: 0.0597. Min Act: -0.0003

Data Index: 553537 (C4 (Web Text))

Max Activating Token Index: 918

Text #3

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 428778 (C4 (Web Text))

Max Activating Token Index: 734

Text #4

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Data Index: 556396 (C4 (Web Text))

Max Activating Token Index: 481

Text #5

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Data Index: 29602 (C4 (Web Text))

Max Activating Token Index: 507

Text #6

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Max Activating Token Index: 304

Text #7

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Max Activating Token Index: 50

Text #9

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 486

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: 326474 (C4 (Web Text))

Max Activating Token Index: 64