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

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

Neuron 2271 in Layer 9

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 1.1695. Min Range: -1.1695

Max Act: 1.1695. Min Act: -0.0000

Data Index: 648841 (C4 (Web Text))

Max Activating Token Index: 468

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Truncated

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Text #1

Max Range: 1.1695. Min Range: -1.1695

Max Act: 1.0585. Min Act: -0.0000

Data Index: 419550 (C4 (Web Text))

Max Activating Token Index: 690

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Truncated

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Text #2

Max Range: 1.1695. Min Range: -1.1695

Max Act: 1.0039. Min Act: -0.0000

Data Index: 90301 (C4 (Web Text))

Max Activating Token Index: 634

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Truncated

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Text #3

Max Range: 1.1695. Min Range: -1.1695

Max Act: 1.0209. Min Act: -0.0000

Data Index: 390432 (C4 (Web Text))

Max Activating Token Index: 252

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Truncated

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Text #4

Max Range: 1.1695. Min Range: -1.1695

Max Act: 1.0445. Min Act: -0.0000

Data Index: 921680 (C4 (Web Text))

Max Activating Token Index: 479

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Truncated

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Text #5

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.9335. Min Act: -0.0000

Data Index: 1010075 (C4 (Web Text))

Max Activating Token Index: 663

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Truncated

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Text #6

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8874. Min Act: -0.0000

Data Index: 675921 (C4 (Web Text))

Max Activating Token Index: 825

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Truncated

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Text #7

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.9124. Min Act: -0.0000

Data Index: 40899 (C4 (Web Text))

Max Activating Token Index: 517

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Truncated

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Text #8

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8723. Min Act: -0.0000

Data Index: 1508623 (Python Code)

Max Activating Token Index: 713

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Text #9

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Max Act: 0.8542. Min Act: -0.0000

Data Index: 1002753 (C4 (Web Text))

Max Activating Token Index: 570

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Truncated

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Text #10

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Max Act: 0.8902. Min Act: -0.0000

Data Index: 571614 (C4 (Web Text))

Max Activating Token Index: 751

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Truncated

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Text #11

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8701. Min Act: -0.0000

Data Index: 1436585 (Python Code)

Max Activating Token Index: 845

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Truncated

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Text #12

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Max Act: 0.8709. Min Act: -0.0000

Data Index: 928369 (C4 (Web Text))

Max Activating Token Index: 658

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Truncated

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Text #13

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.9178. Min Act: -0.0000

Data Index: 267944 (C4 (Web Text))

Max Activating Token Index: 213

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Truncated

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Text #14

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.9538. Min Act: -0.0000

Data Index: 1068868 (C4 (Web Text))

Max Activating Token Index: 298

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Text #15

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Max Act: 0.8253. Min Act: -0.0000

Data Index: 195323 (C4 (Web Text))

Max Activating Token Index: 997

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Truncated

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Text #16

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.9125. Min Act: -0.0000

Data Index: 324519 (C4 (Web Text))

Max Activating Token Index: 693

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Truncated

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Text #17

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8354. Min Act: -0.0000

Data Index: 70806 (C4 (Web Text))

Max Activating Token Index: 671

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Text #18

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8101. Min Act: -0.0000

Data Index: 945607 (C4 (Web Text))

Max Activating Token Index: 520

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Truncated

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Text #19

Max Range: 1.1695. Min Range: -1.1695

Max Act: 0.8111. Min Act: -0.0000

Data Index: 901494 (C4 (Web Text))

Max Activating Token Index: 951

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