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

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

Neuron 981 in Layer 0

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

Text #0

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Max Act: 0.0834. Min Act: -0.0006

Data Index: 1430062 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0794. Min Act: -0.0005

Data Index: 1424114 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0805. Min Act: -0.0005

Data Index: 1391211 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0776. Min Act: -0.0006

Data Index: 1475028 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0750. Min Act: -0.0005

Data Index: 1502300 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1364244 (Python Code)

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Text #6

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Data Index: 1526556 (Python Code)

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Text #7

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Data Index: 1527427 (Python Code)

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Text #8

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Data Index: 1541839 (Python Code)

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Text #9

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Data Index: 1654087 (Python Code)

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Text #10

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Data Index: 1623849 (Python Code)

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Text #11

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Data Index: 1616295 (Python Code)

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Text #12

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Data Index: 1642610 (Python Code)

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Text #13

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Data Index: 1584381 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1646515 (Python Code)

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Text #15

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Data Index: 1445873 (Python Code)

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Text #16

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Data Index: 1610130 (Python Code)

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Text #17

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Data Index: 1393324 (Python Code)

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Text #18

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Data Index: 1616034 (Python Code)

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Text #19

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Data Index: 1405026 (Python Code)

Max Activating Token Index: 1023