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

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

Neuron 1490 in Layer 0

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

Text #0

Max Range: 0.0074. Min Range: -0.0074

Max Act: 0.0074. Min Act: -0.0005

Data Index: 1629144 (Python Code)

Max Activating Token Index: 253

Text #1

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Max Act: 0.0065. Min Act: -0.0005

Data Index: 1429020 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0064. Min Act: -0.0005

Data Index: 1392580 (Python Code)

Max Activating Token Index: 278

Text #3

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Max Act: 0.0061. Min Act: -0.0005

Data Index: 1503452 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0058. Min Act: -0.0006

Data Index: 1423496 (Python Code)

Max Activating Token Index: 676

Text #5

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Max Act: 0.0057. Min Act: -0.0006

Data Index: 1539191 (Python Code)

Max Activating Token Index: 63

Text #6

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Data Index: 1418198 (Python Code)

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Text #7

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Data Index: 1619137 (Python Code)

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Text #8

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Data Index: 1431631 (Python Code)

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Text #9

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Data Index: 1588777 (Python Code)

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Text #10

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Data Index: 1607259 (Python Code)

Max Activating Token Index: 422

Text #11

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Data Index: 1604828 (Python Code)

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Text #12

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Data Index: 1477453 (Python Code)

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Text #13

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Data Index: 1522038 (Python Code)

Max Activating Token Index: 901

Text #14

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Data Index: 1619547 (Python Code)

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Text #15

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Data Index: 1600270 (Python Code)

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Text #16

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Data Index: 1512307 (Python Code)

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Text #17

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Data Index: 1569955 (Python Code)

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Text #18

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Data Index: 1406763 (Python Code)

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Text #19

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Data Index: 1439854 (Python Code)

Max Activating Token Index: 420