Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 822 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.1423. Min Act: -0.0003

Data Index: 1381192 (Python Code)

Max Activating Token Index: 846

Text #1

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Max Act: 0.1306. Min Act: -0.0003

Data Index: 1396593 (Python Code)

Max Activating Token Index: 168

Text #2

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Max Act: 0.1308. Min Act: -0.0003

Data Index: 1636691 (Python Code)

Max Activating Token Index: 993

Text #3

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Max Act: 0.1237. Min Act: -0.0003

Data Index: 1578699 (Python Code)

Max Activating Token Index: 61

Text #4

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Max Act: 0.1202. Min Act: -0.0003

Data Index: 1522681 (Python Code)

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Text #5

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Data Index: 1575907 (Python Code)

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Text #6

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Data Index: 1593165 (Python Code)

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Text #7

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Data Index: 1512733 (Python Code)

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Text #8

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Data Index: 1396002 (Python Code)

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Text #9

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Data Index: 1391494 (Python Code)

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Text #10

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Data Index: 1520374 (Python Code)

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Data Index: 1425349 (Python Code)

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Text #12

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Data Index: 1360102 (Python Code)

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Text #13

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Data Index: 1491686 (Python Code)

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Text #14

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Data Index: 1427723 (Python Code)

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Text #15

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Data Index: 1453841 (Python Code)

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Text #16

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Data Index: 1537301 (Python Code)

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Text #17

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Data Index: 1653662 (Python Code)

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Text #18

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Data Index: 1444309 (Python Code)

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Text #19

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Data Index: 1645284 (Python Code)

Max Activating Token Index: 161