Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5465 in Layer 8

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.2481. Min Act: -0.0000

Data Index: 1643274 (Python Code)

Max Activating Token Index: 940

Text #1

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Max Act: 0.2227. Min Act: -0.0000

Data Index: 4002 (C4 (Web Text))

Max Activating Token Index: 83

Text #2

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Max Act: 0.2126. Min Act: -0.0000

Data Index: 1490637 (Python Code)

Max Activating Token Index: 163

Text #3

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Max Act: 0.2191. Min Act: -0.0000

Data Index: 1553494 (Python Code)

Max Activating Token Index: 443

Text #4

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Max Act: 0.2060. Min Act: -0.0000

Data Index: 206872 (C4 (Web Text))

Max Activating Token Index: 603

Text #5

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Data Index: 1527177 (Python Code)

Max Activating Token Index: 63

Text #6

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Data Index: 1583204 (Python Code)

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Text #7

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Data Index: 1588960 (Python Code)

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Text #8

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Data Index: 190858 (C4 (Web Text))

Max Activating Token Index: 274

Text #9

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Data Index: 1472339 (Python Code)

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Text #10

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Data Index: 993026 (C4 (Web Text))

Max Activating Token Index: 700

Text #11

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Max Activating Token Index: 539

Text #12

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Max Activating Token Index: 596

Text #13

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Data Index: 417284 (C4 (Web Text))

Max Activating Token Index: 788

Text #14

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Data Index: 626096 (C4 (Web Text))

Max Activating Token Index: 286

Text #15

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Data Index: 327002 (C4 (Web Text))

Max Activating Token Index: 444

Text #16

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Text #17

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Data Index: 1467385 (Python Code)

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Text #18

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Data Index: 1597311 (Python Code)

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Text #19

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Data Index: 893497 (C4 (Web Text))

Max Activating Token Index: 622