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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1250 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.4502. Min Act: -0.0000

Data Index: 1330646 (C4 (Web Text))

Max Activating Token Index: 559

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Text #1

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Max Act: 0.4317. Min Act: -0.0001

Data Index: 1489040 (Python Code)

Max Activating Token Index: 805

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Text #2

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Max Act: 0.3920. Min Act: -0.0001

Data Index: 1384087 (Python Code)

Max Activating Token Index: 565

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Text #3

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Data Index: 1489728 (Python Code)

Max Activating Token Index: 45

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Text #4

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Data Index: 1370437 (Python Code)

Max Activating Token Index: 449

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Text #5

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Data Index: 1542439 (Python Code)

Max Activating Token Index: 907

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Text #6

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Data Index: 1459289 (Python Code)

Max Activating Token Index: 810

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Text #7

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Data Index: 1445789 (Python Code)

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Text #8

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Data Index: 581599 (C4 (Web Text))

Max Activating Token Index: 53

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Text #9

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Data Index: 1501676 (Python Code)

Max Activating Token Index: 199

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Text #10

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Data Index: 1551516 (Python Code)

Max Activating Token Index: 476

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Text #11

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Data Index: 1546313 (Python Code)

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Text #12

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Data Index: 1483892 (Python Code)

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Data Index: 1553108 (Python Code)

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Text #14

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Data Index: 1510086 (Python Code)

Max Activating Token Index: 158

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Text #15

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Data Index: 1502605 (Python Code)

Max Activating Token Index: 322

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Text #16

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Data Index: 1385928 (Python Code)

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Text #17

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Data Index: 1395852 (Python Code)

Max Activating Token Index: 864

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Text #18

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Data Index: 1497348 (Python Code)

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Text #19

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Data Index: 1456849 (Python Code)

Max Activating Token Index: 777

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