Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1467 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0205. Min Range: -0.0205

Max Act: 0.0205. Min Act: -0.0005

Data Index: 1621207 (Python Code)

Max Activating Token Index: 204

Text #1

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 1380030 (Python Code)

Max Activating Token Index: 494

Text #2

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 1606901 (Python Code)

Max Activating Token Index: 646

Text #3

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Max Act: 0.0197. Min Act: -0.0005

Data Index: 1542375 (Python Code)

Max Activating Token Index: 721

Text #4

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Max Act: 0.0192. Min Act: -0.0005

Data Index: 1386571 (Python Code)

Max Activating Token Index: 644

Text #5

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Max Act: 0.0189. Min Act: -0.0005

Data Index: 1631931 (Python Code)

Max Activating Token Index: 148

Text #6

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Data Index: 1611003 (Python Code)

Max Activating Token Index: 169

Text #7

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Data Index: 1386497 (Python Code)

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Text #8

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Data Index: 1495698 (Python Code)

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Text #9

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Data Index: 1652716 (Python Code)

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Text #10

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Data Index: 1519212 (Python Code)

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Text #11

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Data Index: 1568468 (Python Code)

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Text #12

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Data Index: 1516702 (Python Code)

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Text #13

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Data Index: 1601114 (Python Code)

Max Activating Token Index: 943

Text #14

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Data Index: 1360933 (Python Code)

Max Activating Token Index: 594

Text #15

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Data Index: 1593734 (Python Code)

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Text #16

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Data Index: 1597222 (Python Code)

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Text #17

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Data Index: 1489831 (Python Code)

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Text #18

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Data Index: 1608968 (Python Code)

Max Activating Token Index: 394

Text #19

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Max Act: 0.0173. Min Act: -0.0005

Data Index: 1394387 (Python Code)

Max Activating Token Index: 104