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

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

Neuron 3384 in Layer 1

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

Text #0

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Max Act: 0.0397. Min Act: -0.0003

Data Index: 1637547 (Python Code)

Max Activating Token Index: 59

Text #1

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Max Act: 0.0386. Min Act: -0.0003

Data Index: 1594104 (Python Code)

Max Activating Token Index: 137

Text #2

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1368551 (Python Code)

Max Activating Token Index: 486

Text #3

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Max Act: 0.0324. Min Act: -0.0003

Data Index: 1433951 (Python Code)

Max Activating Token Index: 573

Text #4

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 1534040 (Python Code)

Max Activating Token Index: 167

Text #5

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Max Act: 0.0371. Min Act: -0.0003

Data Index: 1483373 (Python Code)

Max Activating Token Index: 447

Text #6

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Data Index: 1546077 (Python Code)

Max Activating Token Index: 850

Text #7

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Data Index: 1512836 (Python Code)

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Text #8

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Data Index: 1365423 (Python Code)

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Text #9

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Data Index: 1470778 (Python Code)

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Text #10

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Data Index: 1639658 (Python Code)

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Text #11

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Data Index: 1477323 (Python Code)

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Text #12

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Data Index: 1655710 (Python Code)

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Text #13

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Data Index: 1461779 (Python Code)

Max Activating Token Index: 407

Text #14

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Data Index: 1590996 (Python Code)

Max Activating Token Index: 902

Text #15

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Data Index: 1565009 (Python Code)

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Text #16

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Data Index: 1575539 (Python Code)

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Text #17

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Data Index: 1487327 (Python Code)

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Text #18

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Data Index: 1611297 (Python Code)

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Text #19

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Max Act: 0.0357. Min Act: -0.0003

Data Index: 1419127 (Python Code)

Max Activating Token Index: 822