Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1931 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0309. Min Act: -0.0006

Data Index: 1397290 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0285. Min Act: -0.0005

Data Index: 1543866 (Python Code)

Max Activating Token Index: 616

Text #2

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1571866 (Python Code)

Max Activating Token Index: 571

Text #3

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Max Act: 0.0246. Min Act: -0.0005

Data Index: 1533476 (Python Code)

Max Activating Token Index: 506

Text #4

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Max Act: 0.0245. Min Act: -0.0005

Data Index: 1368115 (Python Code)

Max Activating Token Index: 107

Text #5

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Max Act: 0.0245. Min Act: -0.0006

Data Index: 1426541 (Python Code)

Max Activating Token Index: 515

Text #6

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Data Index: 1544944 (Python Code)

Max Activating Token Index: 471

Text #7

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Data Index: 1519665 (Python Code)

Max Activating Token Index: 521

Text #8

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Data Index: 1632850 (Python Code)

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Text #9

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Data Index: 1619511 (Python Code)

Max Activating Token Index: 51

Text #10

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Data Index: 1512596 (Python Code)

Max Activating Token Index: 497

Text #11

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Data Index: 1529121 (Python Code)

Max Activating Token Index: 1023

Text #12

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Data Index: 1586827 (Python Code)

Max Activating Token Index: 615

Text #13

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Data Index: 1652352 (Python Code)

Max Activating Token Index: 182

Text #14

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Data Index: 1462824 (Python Code)

Max Activating Token Index: 435

Text #15

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Data Index: 1571395 (Python Code)

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Text #16

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Data Index: 1555874 (Python Code)

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Text #17

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Data Index: 1409749 (Python Code)

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Text #18

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Data Index: 1393348 (Python Code)

Max Activating Token Index: 602

Text #19

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Max Act: 0.0232. Min Act: -0.0006

Data Index: 1472520 (Python Code)

Max Activating Token Index: 297