Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1335 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.1972. Min Range: -0.1972

Max Act: 0.1972. Min Act: -0.0001

Data Index: 1406060 (Python Code)

Max Activating Token Index: 79

Text #1

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Data Index: 1652837 (Python Code)

Max Activating Token Index: 57

Text #2

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Data Index: 1636893 (Python Code)

Max Activating Token Index: 373

Text #3

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Data Index: 1372057 (Python Code)

Max Activating Token Index: 84

Text #4

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Data Index: 1405077 (Python Code)

Max Activating Token Index: 710

Text #5

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Data Index: 1426584 (Python Code)

Max Activating Token Index: 36

Text #6

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Data Index: 1514825 (Python Code)

Max Activating Token Index: 188

Text #7

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Data Index: 1493822 (Python Code)

Max Activating Token Index: 332

Text #8

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Data Index: 1594923 (Python Code)

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Text #9

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Data Index: 1611518 (Python Code)

Max Activating Token Index: 683

Text #10

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Data Index: 1423117 (Python Code)

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Text #11

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Data Index: 1521577 (Python Code)

Max Activating Token Index: 255

Text #12

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Data Index: 1526931 (Python Code)

Max Activating Token Index: 118

Text #13

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Data Index: 1587158 (Python Code)

Max Activating Token Index: 59

Text #14

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Data Index: 1462321 (Python Code)

Max Activating Token Index: 449

Text #15

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Data Index: 1605791 (Python Code)

Max Activating Token Index: 52

Text #16

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Data Index: 1596744 (Python Code)

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Text #17

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Data Index: 1536080 (Python Code)

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Text #18

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Data Index: 1375806 (Python Code)

Max Activating Token Index: 461

Text #19

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Data Index: 1389993 (Python Code)

Max Activating Token Index: 290