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

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

Neuron 489 in Layer 0

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

Text #0

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1379617 (Python Code)

Max Activating Token Index: 192

Text #1

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Max Act: 0.0127. Min Act: -0.0006

Data Index: 1423582 (Python Code)

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Text #2

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1510630 (Python Code)

Max Activating Token Index: 700

Text #3

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1563916 (Python Code)

Max Activating Token Index: 804

Text #4

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Data Index: 1570506 (Python Code)

Max Activating Token Index: 154

Text #5

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Data Index: 1481447 (Python Code)

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Text #6

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Data Index: 1590068 (Python Code)

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Text #7

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Data Index: 1408771 (Python Code)

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Text #8

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Data Index: 1633515 (Python Code)

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Text #9

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Data Index: 1360675 (Python Code)

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Text #10

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Data Index: 1472930 (Python Code)

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Data Index: 1379091 (Python Code)

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Text #12

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Data Index: 1362857 (Python Code)

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Text #13

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Data Index: 1471329 (Python Code)

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Text #14

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Data Index: 1610341 (Python Code)

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Text #15

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Data Index: 1387817 (Python Code)

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Text #16

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Data Index: 1487894 (Python Code)

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Text #17

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Data Index: 1564657 (Python Code)

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Text #18

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Data Index: 1626798 (Python Code)

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Text #19

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Data Index: 1481897 (Python Code)

Max Activating Token Index: 180