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

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

Neuron 394 in Layer 0

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



Text #0

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1557857 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Data Index: 1425266 (Python Code)

Max Activating Token Index: 483

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Text #2

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Max Act: 0.0093. Min Act: -0.0005

Data Index: 1471424 (Python Code)

Max Activating Token Index: 37

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Text #3

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Data Index: 1588438 (Python Code)

Max Activating Token Index: 644

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Text #4

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Data Index: 1401528 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Data Index: 1567881 (Python Code)

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Text #6

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Data Index: 1582076 (Python Code)

Max Activating Token Index: 449

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Text #7

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Data Index: 1543374 (Python Code)

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Text #8

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Data Index: 1574967 (Python Code)

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Text #9

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Data Index: 1425856 (Python Code)

Max Activating Token Index: 349

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Text #10

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Data Index: 1414709 (Python Code)

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Text #11

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Data Index: 1581987 (Python Code)

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Text #12

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Data Index: 542657 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #13

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Data Index: 1561599 (Python Code)

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Text #14

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Data Index: 1390571 (Python Code)

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Text #15

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Data Index: 268585 (C4 (Web Text))

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Text #16

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Data Index: 1381846 (Python Code)

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Text #17

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Data Index: 1415365 (Python Code)

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Text #18

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Data Index: 1615998 (Python Code)

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Text #19

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Data Index: 1448686 (Python Code)

Max Activating Token Index: 1023

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