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

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

Neuron 2564 in Layer 3

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



Text #0

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Max Act: 0.0579. Min Act: -0.0001

Data Index: 584904 (C4 (Web Text))

Max Activating Token Index: 645

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Text #1

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Max Act: 0.0483. Min Act: -0.0001

Data Index: 1177050 (C4 (Web Text))

Max Activating Token Index: 198

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Text #2

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Max Act: 0.0496. Min Act: -0.0001

Data Index: 712201 (C4 (Web Text))

Max Activating Token Index: 657

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Text #3

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Max Act: 0.0468. Min Act: -0.0001

Data Index: 1547918 (Python Code)

Max Activating Token Index: 676

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Text #4

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Max Act: 0.0433. Min Act: -0.0001

Data Index: 689899 (C4 (Web Text))

Max Activating Token Index: 882

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Truncated

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Text #5

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Max Act: 0.0451. Min Act: -0.0001

Data Index: 729008 (C4 (Web Text))

Max Activating Token Index: 14

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Text #6

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Data Index: 421556 (C4 (Web Text))

Max Activating Token Index: 842

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Text #7

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Data Index: 530316 (C4 (Web Text))

Max Activating Token Index: 74

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Text #8

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Data Index: 871161 (C4 (Web Text))

Max Activating Token Index: 133

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Text #9

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Data Index: 313762 (C4 (Web Text))

Max Activating Token Index: 513

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Text #10

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Data Index: 1463051 (Python Code)

Max Activating Token Index: 711

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Text #11

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Data Index: 857091 (C4 (Web Text))

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Text #12

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Data Index: 152957 (C4 (Web Text))

Max Activating Token Index: 898

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Text #13

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Data Index: 943677 (C4 (Web Text))

Max Activating Token Index: 846

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Text #14

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Data Index: 1649226 (Python Code)

Max Activating Token Index: 926

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Text #15

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Data Index: 516231 (C4 (Web Text))

Max Activating Token Index: 161

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Text #16

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Data Index: 1136717 (C4 (Web Text))

Max Activating Token Index: 658

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Text #17

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Max Act: 0.0407. Min Act: -0.0001

Data Index: 1132880 (C4 (Web Text))

Max Activating Token Index: 787

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Text #18

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Max Act: 0.0407. Min Act: -0.0001

Data Index: 1235379 (C4 (Web Text))

Max Activating Token Index: 904

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Text #19

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Max Act: 0.0404. Min Act: -0.0001

Data Index: 1308912 (C4 (Web Text))

Max Activating Token Index: 689

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