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

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

Neuron 1972 in Layer 0

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

Text #0

Max Range: 0.0193. Min Range: -0.0193

Max Act: 0.0193. Min Act: -0.0002

Data Index: 1421355 (Python Code)

Max Activating Token Index: 597

Text #1

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 1510274 (Python Code)

Max Activating Token Index: 950

Text #2

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 1484713 (Python Code)

Max Activating Token Index: 474

Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1614096 (Python Code)

Max Activating Token Index: 19

Text #4

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1564027 (Python Code)

Max Activating Token Index: 473

Text #5

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1412432 (Python Code)

Max Activating Token Index: 869

Text #6

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Data Index: 1616547 (Python Code)

Max Activating Token Index: 12

Text #7

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Data Index: 1377323 (Python Code)

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Text #8

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Data Index: 1563103 (Python Code)

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Text #9

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Data Index: 1480468 (Python Code)

Max Activating Token Index: 30

Text #10

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Data Index: 1397126 (Python Code)

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Text #11

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Data Index: 1571383 (Python Code)

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Text #12

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Data Index: 1510692 (Python Code)

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Text #13

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Data Index: 1608118 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1479642 (Python Code)

Max Activating Token Index: 86

Text #15

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Data Index: 1562584 (Python Code)

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Text #16

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Data Index: 1553287 (Python Code)

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Text #17

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Data Index: 1617093 (Python Code)

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Text #18

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Data Index: 1479474 (Python Code)

Max Activating Token Index: 1011

Text #19

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1626624 (Python Code)

Max Activating Token Index: 929