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

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

Neuron 3820 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0402. Min Act: -0.0000

Data Index: 1480366 (Python Code)

Max Activating Token Index: 963

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Text #1

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Data Index: 1549320 (Python Code)

Max Activating Token Index: 606

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Text #2

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Max Act: 0.0323. Min Act: -0.0000

Data Index: 1445519 (Python Code)

Max Activating Token Index: 620

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Text #3

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Max Act: 0.0258. Min Act: -0.0000

Data Index: 1545208 (Python Code)

Max Activating Token Index: 821

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Text #4

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Max Act: 0.0279. Min Act: -0.0000

Data Index: 1136731 (C4 (Web Text))

Max Activating Token Index: 396

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Text #5

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Data Index: 1366826 (Python Code)

Max Activating Token Index: 403

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Data Index: 1596252 (Python Code)

Max Activating Token Index: 628

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Text #7

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Data Index: 1480246 (Python Code)

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Text #8

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Data Index: 16291 (C4 (Web Text))

Max Activating Token Index: 964

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Text #9

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Data Index: 1552891 (Python Code)

Max Activating Token Index: 856

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Text #10

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Data Index: 1637560 (Python Code)

Max Activating Token Index: 503

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Text #11

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Data Index: 1486821 (Python Code)

Max Activating Token Index: 835

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Text #12

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Data Index: 1443200 (Python Code)

Max Activating Token Index: 604

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Data Index: 1402632 (Python Code)

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Text #14

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Data Index: 1462858 (Python Code)

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Text #15

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Data Index: 1441575 (Python Code)

Max Activating Token Index: 799

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Text #16

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Data Index: 1513947 (Python Code)

Max Activating Token Index: 172

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Text #17

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Data Index: 1548765 (Python Code)

Max Activating Token Index: 454

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Text #18

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Data Index: 1457538 (Python Code)

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Text #19

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Data Index: 1603992 (Python Code)

Max Activating Token Index: 675

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