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

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

Neuron 693 in Layer 9

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



Text #0

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Max Act: 0.6175. Min Act: 0.0000

Data Index: 1436941 (Python Code)

Max Activating Token Index: 293

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Text #1

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Max Act: 0.3857. Min Act: -0.0000

Data Index: 182141 (C4 (Web Text))

Max Activating Token Index: 743

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Text #2

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Max Act: 0.3932. Min Act: -0.0000

Data Index: 912080 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #3

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Data Index: 24086 (C4 (Web Text))

Max Activating Token Index: 478

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Text #4

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Data Index: 1504909 (Python Code)

Max Activating Token Index: 248

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Text #5

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Data Index: 1447081 (Python Code)

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Text #6

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Data Index: 874664 (C4 (Web Text))

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Text #7

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Data Index: 1387828 (Python Code)

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Text #8

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Data Index: 95946 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #9

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Data Index: 1374478 (Python Code)

Max Activating Token Index: 409

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Text #10

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Data Index: 1545664 (Python Code)

Max Activating Token Index: 867

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Text #11

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Data Index: 1472432 (Python Code)

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Text #12

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Data Index: 1499964 (Python Code)

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Text #13

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Data Index: 1607196 (Python Code)

Max Activating Token Index: 743

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Text #14

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Data Index: 1491901 (Python Code)

Max Activating Token Index: 187

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Text #15

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Data Index: 1466761 (Python Code)

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Text #16

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Data Index: 1629300 (Python Code)

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Text #17

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Data Index: 1537087 (Python Code)

Max Activating Token Index: 960

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Text #18

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Data Index: 1363567 (Python Code)

Max Activating Token Index: 912

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Text #19

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Data Index: 1385720 (Python Code)

Max Activating Token Index: 262

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