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

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

Neuron 2879 in Layer 2

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

Text #0

Max Range: 0.0592. Min Range: -0.0592

Max Act: 0.0592. Min Act: -0.0002

Data Index: 1465043 (Python Code)

Max Activating Token Index: 3

Text #1

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Max Act: 0.0584. Min Act: -0.0002

Data Index: 1454338 (Python Code)

Max Activating Token Index: 3

Text #2

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Max Act: 0.0581. Min Act: -0.0002

Data Index: 1650004 (Python Code)

Max Activating Token Index: 3

Text #3

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Max Act: 0.0561. Min Act: -0.0002

Data Index: 1623066 (Python Code)

Max Activating Token Index: 3

Text #4

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Max Act: 0.0568. Min Act: -0.0002

Data Index: 1541736 (Python Code)

Max Activating Token Index: 3

Text #5

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Max Act: 0.0554. Min Act: -0.0002

Data Index: 1373594 (Python Code)

Max Activating Token Index: 2

Text #6

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Data Index: 1416760 (Python Code)

Max Activating Token Index: 2

Text #7

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Data Index: 1564639 (Python Code)

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Text #8

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Data Index: 1452881 (Python Code)

Max Activating Token Index: 2

Text #9

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Data Index: 1372583 (Python Code)

Max Activating Token Index: 2

Text #10

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Data Index: 1573333 (Python Code)

Max Activating Token Index: 2

Text #11

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Data Index: 1557273 (Python Code)

Max Activating Token Index: 3

Text #12

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Data Index: 1566834 (Python Code)

Max Activating Token Index: 3

Text #13

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Data Index: 1584322 (Python Code)

Max Activating Token Index: 3

Text #14

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Data Index: 1543338 (Python Code)

Max Activating Token Index: 3

Text #15

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Data Index: 1413449 (Python Code)

Max Activating Token Index: 3

Text #16

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Data Index: 1422756 (Python Code)

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Text #17

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Data Index: 1395229 (Python Code)

Max Activating Token Index: 3

Text #18

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Data Index: 1459094 (Python Code)

Max Activating Token Index: 3

Text #19

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Max Act: 0.0513. Min Act: -0.0002

Data Index: 1460454 (Python Code)

Max Activating Token Index: 3