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

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

Neuron 331 in Layer 4

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



Text #0

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Max Act: 0.5262. Min Act: -0.0001

Data Index: 447565 (C4 (Web Text))

Max Activating Token Index: 168

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Text #1

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Max Act: 0.4854. Min Act: -0.0001

Data Index: 1094519 (C4 (Web Text))

Max Activating Token Index: 374

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Text #2

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Max Act: 0.4292. Min Act: -0.0001

Data Index: 1045897 (C4 (Web Text))

Max Activating Token Index: 780

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Text #3

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Max Act: 0.4012. Min Act: -0.0001

Data Index: 1385120 (Python Code)

Max Activating Token Index: 477

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Text #4

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Max Act: 0.3809. Min Act: -0.0001

Data Index: 98743 (C4 (Web Text))

Max Activating Token Index: 781

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Text #5

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Data Index: 1470401 (Python Code)

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Text #6

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Data Index: 1109671 (C4 (Web Text))

Max Activating Token Index: 303

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Text #7

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Data Index: 965397 (C4 (Web Text))

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Text #8

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Data Index: 387027 (C4 (Web Text))

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Text #9

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Data Index: 948531 (C4 (Web Text))

Max Activating Token Index: 810

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Text #10

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Data Index: 1347639 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 706089 (C4 (Web Text))

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Text #13

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Data Index: 27030 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 220759 (C4 (Web Text))

Max Activating Token Index: 894

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Text #16

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Data Index: 1282824 (C4 (Web Text))

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Text #17

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Max Act: 0.3432. Min Act: -0.0001

Data Index: 679060 (C4 (Web Text))

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Text #18

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Data Index: 1170074 (C4 (Web Text))

Max Activating Token Index: 1012

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Text #19

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Max Act: 0.3185. Min Act: -0.0001

Data Index: 350477 (C4 (Web Text))

Max Activating Token Index: 38

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