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

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

Neuron 1378 in Layer 0

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

Text #0

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Max Act: 0.0169. Min Act: -0.0005

Data Index: 1562560 (Python Code)

Max Activating Token Index: 872

Text #1

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Max Act: 0.0158. Min Act: -0.0005

Data Index: 1494357 (Python Code)

Max Activating Token Index: 81

Text #2

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1413653 (Python Code)

Max Activating Token Index: 76

Text #3

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Max Act: 0.0154. Min Act: -0.0005

Data Index: 1500175 (Python Code)

Max Activating Token Index: 103

Text #4

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 120613 (C4 (Web Text))

Max Activating Token Index: 268

Text #5

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Data Index: 1530117 (Python Code)

Max Activating Token Index: 97

Text #6

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Data Index: 1572459 (Python Code)

Max Activating Token Index: 50

Text #7

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Data Index: 1432021 (Python Code)

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Text #8

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Data Index: 1555921 (Python Code)

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Text #9

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Data Index: 1524439 (Python Code)

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Text #10

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Data Index: 1364486 (Python Code)

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Text #11

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Data Index: 1603668 (Python Code)

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Text #12

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Data Index: 1476381 (Python Code)

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Text #13

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Data Index: 1543531 (Python Code)

Max Activating Token Index: 488

Text #14

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Data Index: 1522271 (Python Code)

Max Activating Token Index: 93

Text #15

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Data Index: 1459658 (Python Code)

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Text #16

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Data Index: 1428693 (Python Code)

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Text #17

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Data Index: 1506280 (Python Code)

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Text #18

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Data Index: 1407601 (Python Code)

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Text #19

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Data Index: 1598246 (Python Code)

Max Activating Token Index: 574