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

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

Neuron 32 in Layer 1

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

Text #0

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Max Act: 0.0258. Min Act: -0.0006

Data Index: 1603741 (Python Code)

Max Activating Token Index: 42

Text #1

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Max Act: 0.0243. Min Act: -0.0006

Data Index: 1560580 (Python Code)

Max Activating Token Index: 610

Text #2

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Data Index: 1520630 (Python Code)

Max Activating Token Index: 211

Text #3

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Max Act: 0.0233. Min Act: -0.0006

Data Index: 1628336 (Python Code)

Max Activating Token Index: 1011

Text #4

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1436472 (Python Code)

Max Activating Token Index: 516

Text #5

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1445224 (Python Code)

Max Activating Token Index: 263

Text #6

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Data Index: 1486307 (Python Code)

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Text #7

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Data Index: 1512855 (Python Code)

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Text #8

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Data Index: 1582579 (Python Code)

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Text #9

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Data Index: 1542456 (Python Code)

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Text #10

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Data Index: 1582865 (Python Code)

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Text #11

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Data Index: 1609619 (Python Code)

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Text #12

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Data Index: 1402409 (Python Code)

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Text #13

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Data Index: 1450219 (Python Code)

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Text #14

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Data Index: 1614106 (Python Code)

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Text #15

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Data Index: 1577387 (Python Code)

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Text #16

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Data Index: 1256331 (C4 (Web Text))

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Text #17

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Data Index: 1416478 (Python Code)

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Text #18

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Data Index: 1314546 (C4 (Web Text))

Max Activating Token Index: 574

Text #19

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Max Act: 0.0213. Min Act: -0.0006

Data Index: 1653994 (Python Code)

Max Activating Token Index: 430