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

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

Neuron 5110 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: 1.2508. Min Range: -1.2508

Max Act: 1.2508. Min Act: 0.0000

Data Index: 1551788 (Python Code)

Max Activating Token Index: 507

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Text #1

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Max Act: 1.0309. Min Act: -0.0000

Data Index: 1585108 (Python Code)

Max Activating Token Index: 558

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Text #2

Max Range: 1.2508. Min Range: -1.2508

Max Act: 0.9535. Min Act: 0.0000

Data Index: 1424563 (Python Code)

Max Activating Token Index: 592

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Text #3

Max Range: 1.2508. Min Range: -1.2508

Max Act: 0.8973. Min Act: -0.0000

Data Index: 129525 (C4 (Web Text))

Max Activating Token Index: 558

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Text #4

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Max Act: 0.8417. Min Act: -0.0000

Data Index: 1416425 (Python Code)

Max Activating Token Index: 202

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Text #5

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Max Act: 0.8946. Min Act: -0.0000

Data Index: 1610526 (Python Code)

Max Activating Token Index: 786

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Text #6

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Max Act: 0.8414. Min Act: 0.0000

Data Index: 1375802 (Python Code)

Max Activating Token Index: 511

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Text #7

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Max Act: 0.8151. Min Act: 0.0001

Data Index: 1605203 (Python Code)

Max Activating Token Index: 130

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Text #8

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Max Act: 0.7967. Min Act: -0.0000

Data Index: 572640 (C4 (Web Text))

Max Activating Token Index: 616

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Text #9

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Max Act: 0.7800. Min Act: 0.0001

Data Index: 1362706 (Python Code)

Max Activating Token Index: 887

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Text #10

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Max Act: 0.7694. Min Act: -0.0000

Data Index: 1405420 (Python Code)

Max Activating Token Index: 130

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Text #11

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Max Act: 0.7580. Min Act: -0.0000

Data Index: 1487683 (Python Code)

Max Activating Token Index: 208

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Text #12

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Data Index: 1579744 (Python Code)

Max Activating Token Index: 803

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Text #13

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Max Act: 0.7481. Min Act: -0.0000

Data Index: 1616226 (Python Code)

Max Activating Token Index: 337

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Text #14

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Max Act: 0.7017. Min Act: -0.0000

Data Index: 1525652 (Python Code)

Max Activating Token Index: 1011

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Text #15

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Max Act: 0.7115. Min Act: -0.0000

Data Index: 1603557 (Python Code)

Max Activating Token Index: 385

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Text #16

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Max Act: 0.6975. Min Act: 0.0001

Data Index: 1500434 (Python Code)

Max Activating Token Index: 312

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Text #17

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Max Act: 0.6987. Min Act: -0.0000

Data Index: 1364943 (Python Code)

Max Activating Token Index: 746

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Text #18

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Max Act: 0.6955. Min Act: 0.0000

Data Index: 1494752 (Python Code)

Max Activating Token Index: 571

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Text #19

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Max Act: 0.6595. Min Act: 0.0000

Data Index: 1392406 (Python Code)

Max Activating Token Index: 573

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