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

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

Neuron 3373 in Layer 9

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

Text #0

Max Range: 1.3262. Min Range: -1.3262

Max Act: 1.3171. Min Act: -0.0000

Data Index: 1410529 (Python Code)

Max Activating Token Index: 481

Text #1

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Data Index: 1636895 (Python Code)

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Text #2

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Data Index: 1419264 (Python Code)

Max Activating Token Index: 483

Text #3

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Max Act: 1.1024. Min Act: -0.0000

Data Index: 1452901 (Python Code)

Max Activating Token Index: 379

Text #4

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Max Act: 1.0080. Min Act: -0.0000

Data Index: 1528573 (Python Code)

Max Activating Token Index: 296

Text #5

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Max Act: 1.1357. Min Act: -0.0000

Data Index: 1547206 (Python Code)

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Text #6

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Data Index: 1544711 (Python Code)

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Text #7

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Data Index: 1600542 (Python Code)

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Text #8

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Data Index: 1429422 (Python Code)

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Text #9

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Data Index: 1400778 (Python Code)

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Text #10

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Data Index: 1587688 (Python Code)

Max Activating Token Index: 737

Text #11

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Data Index: 1384482 (Python Code)

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Text #12

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Data Index: 1586421 (Python Code)

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Text #13

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Data Index: 1577428 (Python Code)

Max Activating Token Index: 582

Text #14

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Data Index: 1556696 (Python Code)

Max Activating Token Index: 397

Text #15

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Data Index: 1627829 (Python Code)

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Text #16

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Data Index: 1395317 (Python Code)

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Text #17

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Data Index: 1435168 (Python Code)

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Text #18

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Data Index: 1519037 (Python Code)

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Text #19

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Data Index: 1589677 (Python Code)

Max Activating Token Index: 355