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

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

Neuron 104 in Layer 0

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

Text #0

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Data Index: 1411237 (Python Code)

Max Activating Token Index: 35

Text #1

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Data Index: 1448125 (Python Code)

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Text #2

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Data Index: 1389554 (Python Code)

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Text #3

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 1572607 (Python Code)

Max Activating Token Index: 390

Text #4

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Data Index: 1573669 (Python Code)

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Text #5

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Data Index: 1365004 (Python Code)

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Text #6

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Data Index: 1560022 (Python Code)

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Data Index: 1374437 (Python Code)

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Text #9

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Data Index: 116190 (C4 (Web Text))

Max Activating Token Index: 20

Text #10

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Data Index: 1514907 (Python Code)

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Text #12

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Data Index: 1554948 (Python Code)

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Text #13

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Data Index: 1372114 (Python Code)

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Text #14

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Data Index: 1575862 (Python Code)

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1408264 (Python Code)

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Text #19

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Data Index: 1511533 (Python Code)

Max Activating Token Index: 1019