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

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

Neuron 590 in Layer 0

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

Text #0

Max Range: 0.0862. Min Range: -0.0862

Max Act: 0.0862. Min Act: -0.0005

Data Index: 1648201 (Python Code)

Max Activating Token Index: 790

Text #1

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Max Act: 0.0810. Min Act: -0.0005

Data Index: 1487465 (Python Code)

Max Activating Token Index: 878

Text #2

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Max Act: 0.0787. Min Act: -0.0005

Data Index: 1529340 (Python Code)

Max Activating Token Index: 621

Text #3

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Max Act: 0.0802. Min Act: -0.0005

Data Index: 1654942 (Python Code)

Max Activating Token Index: 225

Text #4

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Max Act: 0.0775. Min Act: -0.0005

Data Index: 1425091 (Python Code)

Max Activating Token Index: 4

Text #5

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Max Act: 0.0742. Min Act: -0.0005

Data Index: 1492516 (Python Code)

Max Activating Token Index: 32

Text #6

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Data Index: 1583048 (Python Code)

Max Activating Token Index: 4

Text #7

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Data Index: 1466837 (Python Code)

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Text #8

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Data Index: 1469562 (Python Code)

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Text #9

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Data Index: 1493604 (Python Code)

Max Activating Token Index: 5

Text #10

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Data Index: 1601155 (Python Code)

Max Activating Token Index: 4

Text #11

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Data Index: 1415172 (Python Code)

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Text #12

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Data Index: 1404099 (Python Code)

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Text #13

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Data Index: 1495211 (Python Code)

Max Activating Token Index: 4

Text #14

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Data Index: 1463108 (Python Code)

Max Activating Token Index: 4

Text #15

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Data Index: 1397447 (Python Code)

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Text #16

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Data Index: 1609128 (Python Code)

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Text #17

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Data Index: 1624085 (Python Code)

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Text #18

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Data Index: 1628984 (Python Code)

Max Activating Token Index: 4

Text #19

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Max Act: 0.0717. Min Act: -0.0005

Data Index: 1471978 (Python Code)

Max Activating Token Index: 337