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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 320 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.4283. Min Act: -0.0000

Data Index: 488005 (C4 (Web Text))

Max Activating Token Index: 679

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Text #1

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Max Act: 0.3973. Min Act: -0.0000

Data Index: 1213242 (C4 (Web Text))

Max Activating Token Index: 344

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Text #2

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Max Act: 0.4267. Min Act: -0.0000

Data Index: 49589 (C4 (Web Text))

Max Activating Token Index: 959

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Text #3

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Max Act: 0.4212. Min Act: -0.0000

Data Index: 353203 (C4 (Web Text))

Max Activating Token Index: 58

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Text #4

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Data Index: 1373116 (Python Code)

Max Activating Token Index: 1001

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Text #5

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Data Index: 1224259 (C4 (Web Text))

Max Activating Token Index: 685

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Text #6

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Data Index: 1604406 (Python Code)

Max Activating Token Index: 329

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Text #7

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Data Index: 1526084 (Python Code)

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Text #8

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Data Index: 1378177 (Python Code)

Max Activating Token Index: 827

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Text #9

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Data Index: 1371963 (Python Code)

Max Activating Token Index: 503

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Text #10

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Data Index: 1559916 (Python Code)

Max Activating Token Index: 548

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Text #11

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Data Index: 1583728 (Python Code)

Max Activating Token Index: 679

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Text #12

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Data Index: 1599719 (Python Code)

Max Activating Token Index: 777

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Text #13

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Max Activating Token Index: 1012

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Text #14

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Max Activating Token Index: 632

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Text #15

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Max Activating Token Index: 961

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Text #16

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Text #17

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Data Index: 1371967 (Python Code)

Max Activating Token Index: 932

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Text #18

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Data Index: 1504956 (Python Code)

Max Activating Token Index: 345

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Text #19

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Data Index: 1411106 (Python Code)

Max Activating Token Index: 360

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