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

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

Neuron 342 in Layer 0

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

Text #0

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Max Act: 0.0348. Min Act: -0.0006

Data Index: 1515594 (Python Code)

Max Activating Token Index: 349

Text #1

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Max Act: 0.0348. Min Act: -0.0006

Data Index: 1461657 (Python Code)

Max Activating Token Index: 416

Text #2

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Data Index: 1597612 (Python Code)

Max Activating Token Index: 182

Text #3

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Max Act: 0.0343. Min Act: -0.0005

Data Index: 1607082 (Python Code)

Max Activating Token Index: 812

Text #4

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Max Act: 0.0332. Min Act: -0.0006

Data Index: 1626653 (Python Code)

Max Activating Token Index: 14

Text #5

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Data Index: 1406384 (Python Code)

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Text #6

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Data Index: 1375935 (Python Code)

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Text #7

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Data Index: 1482841 (Python Code)

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Text #8

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Data Index: 1375083 (Python Code)

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Text #9

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Data Index: 1389368 (Python Code)

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Text #10

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Data Index: 1425431 (Python Code)

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Text #11

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Data Index: 1546052 (Python Code)

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Text #12

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Data Index: 1404562 (Python Code)

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Text #13

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Data Index: 1641784 (Python Code)

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Text #14

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Data Index: 1598166 (Python Code)

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Text #15

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Data Index: 1604410 (Python Code)

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Text #16

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Data Index: 1497921 (Python Code)

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Text #17

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Data Index: 1545085 (Python Code)

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Text #18

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Data Index: 1400725 (Python Code)

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Text #19

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Data Index: 1647822 (Python Code)

Max Activating Token Index: 35