Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3005 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0075. Min Range: -0.0075

Max Act: 0.0075. Min Act: -0.0002

Data Index: 1460930 (Python Code)

Max Activating Token Index: 885

Text #1

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Data Index: 1413151 (Python Code)

Max Activating Token Index: 737

Text #2

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1508683 (Python Code)

Max Activating Token Index: 789

Text #3

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1524953 (Python Code)

Max Activating Token Index: 124

Text #4

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1431234 (Python Code)

Max Activating Token Index: 782

Text #5

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1598534 (Python Code)

Max Activating Token Index: 722

Text #6

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Data Index: 1483808 (Python Code)

Max Activating Token Index: 517

Text #7

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Data Index: 1457710 (Python Code)

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Text #8

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Data Index: 1482512 (Python Code)

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Text #9

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Data Index: 1424445 (Python Code)

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Text #10

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Data Index: 1583170 (Python Code)

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Text #11

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Data Index: 1514989 (Python Code)

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Text #12

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Data Index: 1443688 (Python Code)

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Text #13

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Data Index: 1441709 (Python Code)

Max Activating Token Index: 466

Text #14

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Data Index: 1427475 (Python Code)

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Text #15

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Data Index: 1620595 (Python Code)

Max Activating Token Index: 108

Text #16

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Data Index: 1591117 (Python Code)

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Text #17

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Data Index: 1621948 (Python Code)

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Text #18

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Data Index: 1404177 (Python Code)

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Text #19

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Data Index: 1632203 (Python Code)

Max Activating Token Index: 1001