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

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

Neuron 2047 in Layer 1

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

Text #0

Max Range: 0.0021. Min Range: -0.0021

Max Act: 0.0021. Min Act: -0.0006

Data Index: 1368806 (Python Code)

Max Activating Token Index: 35

Text #1

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Data Index: 1454930 (Python Code)

Max Activating Token Index: 15

Text #2

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Max Act: 0.0021. Min Act: -0.0006

Data Index: 1529423 (Python Code)

Max Activating Token Index: 10

Text #3

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Max Act: 0.0020. Min Act: -0.0006

Data Index: 1407666 (Python Code)

Max Activating Token Index: 70

Text #4

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Data Index: 1402824 (Python Code)

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Text #5

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Data Index: 1571361 (Python Code)

Max Activating Token Index: 62

Text #6

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Data Index: 1614619 (Python Code)

Max Activating Token Index: 7

Text #7

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Data Index: 1643268 (Python Code)

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Text #8

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Data Index: 1608490 (Python Code)

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Text #9

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Data Index: 1518157 (Python Code)

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Text #10

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Data Index: 1431443 (Python Code)

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Text #11

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Data Index: 1408875 (Python Code)

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Text #12

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Data Index: 1448118 (Python Code)

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Text #13

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Data Index: 1399545 (Python Code)

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Text #14

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Data Index: 1372952 (Python Code)

Max Activating Token Index: 10

Text #15

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Data Index: 1622579 (Python Code)

Max Activating Token Index: 47

Text #16

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Data Index: 1639914 (Python Code)

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Text #17

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Data Index: 1454207 (Python Code)

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Text #18

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Data Index: 1511882 (Python Code)

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Text #19

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Max Act: 0.0019. Min Act: -0.0006

Data Index: 1459129 (Python Code)

Max Activating Token Index: 14