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

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

Neuron 720 in Layer 0

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

Text #0

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1406091 (Python Code)

Max Activating Token Index: 343

Text #1

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Data Index: 1579377 (Python Code)

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Text #2

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Data Index: 1584271 (Python Code)

Max Activating Token Index: 343

Text #3

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Data Index: 1405846 (Python Code)

Max Activating Token Index: 152

Text #4

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Data Index: 1627861 (Python Code)

Max Activating Token Index: 863

Text #5

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Data Index: 1519394 (Python Code)

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Text #6

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Data Index: 1644024 (Python Code)

Max Activating Token Index: 1007

Text #7

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Data Index: 1648155 (Python Code)

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Text #8

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Data Index: 1568586 (Python Code)

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Text #9

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Data Index: 1536097 (Python Code)

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Text #10

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Data Index: 1456652 (Python Code)

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Text #11

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Data Index: 1629988 (Python Code)

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Text #12

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Data Index: 1543142 (Python Code)

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Text #13

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Data Index: 1572854 (Python Code)

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Text #14

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Data Index: 1515780 (Python Code)

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Text #15

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Data Index: 1409853 (Python Code)

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Text #16

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Data Index: 1371478 (Python Code)

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Text #17

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Data Index: 1387439 (Python Code)

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Text #18

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Data Index: 1458185 (Python Code)

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Text #19

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Data Index: 1614458 (Python Code)

Max Activating Token Index: 663