Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2787 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 1613581 (Python Code)

Max Activating Token Index: 297

Text #1

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Data Index: 1417995 (Python Code)

Max Activating Token Index: 228

Text #2

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Data Index: 1434194 (Python Code)

Max Activating Token Index: 109

Text #3

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Max Act: 0.0488. Min Act: -0.0002

Data Index: 445702 (C4 (Web Text))

Max Activating Token Index: 97

Text #4

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Max Act: 0.0421. Min Act: -0.0002

Data Index: 148820 (C4 (Web Text))

Max Activating Token Index: 423

Text #5

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Data Index: 450912 (C4 (Web Text))

Max Activating Token Index: 459

Text #6

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Max Activating Token Index: 434

Text #7

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Max Activating Token Index: 270

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 873

Text #11

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Max Activating Token Index: 810

Text #12

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Max Activating Token Index: 276

Text #13

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Max Activating Token Index: 632

Text #14

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Max Activating Token Index: 488

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 339

Text #18

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Max Activating Token Index: 602

Text #19

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Data Index: 120463 (C4 (Web Text))

Max Activating Token Index: 586