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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4532 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1277173 (C4 (Web Text))

Max Activating Token Index: 30

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Text #1

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Max Act: 0.0203. Min Act: -0.0001

Data Index: 1460951 (Python Code)

Max Activating Token Index: 375

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Text #2

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1631175 (Python Code)

Max Activating Token Index: 623

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Text #3

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Max Act: 0.0197. Min Act: -0.0001

Data Index: 1522526 (Python Code)

Max Activating Token Index: 593

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Text #4

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Max Act: 0.0182. Min Act: -0.0002

Data Index: 1477505 (Python Code)

Max Activating Token Index: 771

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Text #5

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Data Index: 1493037 (Python Code)

Max Activating Token Index: 76

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Text #6

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Data Index: 1380969 (Python Code)

Max Activating Token Index: 19

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Text #7

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Data Index: 1443668 (Python Code)

Max Activating Token Index: 8

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Text #8

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Data Index: 1612848 (Python Code)

Max Activating Token Index: 911

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Text #9

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Data Index: 1571234 (Python Code)

Max Activating Token Index: 153

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Text #10

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Data Index: 1427522 (Python Code)

Max Activating Token Index: 35

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Text #11

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Data Index: 1610719 (Python Code)

Max Activating Token Index: 655

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Text #12

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Data Index: 1418317 (Python Code)

Max Activating Token Index: 48

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Text #13

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Data Index: 1381436 (Python Code)

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Text #14

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Data Index: 1646860 (Python Code)

Max Activating Token Index: 682

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Text #15

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Data Index: 893050 (C4 (Web Text))

Max Activating Token Index: 18

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Text #16

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Data Index: 1508261 (Python Code)

Max Activating Token Index: 497

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Text #17

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Data Index: 1610825 (Python Code)

Max Activating Token Index: 23

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Text #18

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Data Index: 1641746 (Python Code)

Max Activating Token Index: 23

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Text #19

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Data Index: 1627222 (Python Code)

Max Activating Token Index: 901

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