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

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

Neuron 3105 in Layer 3

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: 1.4491. Min Act: -0.0001

Data Index: 27122 (C4 (Web Text))

Max Activating Token Index: 468

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Text #1

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Max Act: 1.3980. Min Act: -0.0001

Data Index: 744368 (C4 (Web Text))

Max Activating Token Index: 416

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Truncated

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Text #2

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Max Act: 1.4372. Min Act: -0.0001

Data Index: 609808 (C4 (Web Text))

Max Activating Token Index: 21

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Text #3

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Max Act: 1.3619. Min Act: -0.0001

Data Index: 1176748 (C4 (Web Text))

Max Activating Token Index: 720

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Truncated

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Text #4

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Max Act: 1.3063. Min Act: -0.0001

Data Index: 1127096 (C4 (Web Text))

Max Activating Token Index: 330

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Text #5

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Data Index: 687449 (C4 (Web Text))

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Text #6

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Data Index: 1102658 (C4 (Web Text))

Max Activating Token Index: 598

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Text #7

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Data Index: 1405895 (Python Code)

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Text #8

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Data Index: 1406510 (Python Code)

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Text #9

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Data Index: 886496 (C4 (Web Text))

Max Activating Token Index: 3

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Text #10

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Data Index: 633942 (C4 (Web Text))

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Text #11

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Data Index: 310678 (C4 (Web Text))

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Text #12

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Data Index: 558121 (C4 (Web Text))

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Text #13

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Data Index: 739468 (C4 (Web Text))

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Text #14

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Data Index: 609214 (C4 (Web Text))

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Text #15

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Data Index: 550430 (C4 (Web Text))

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Text #16

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Data Index: 1109597 (C4 (Web Text))

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Text #17

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Max Act: 1.0616. Min Act: -0.0001

Data Index: 1221371 (C4 (Web Text))

Max Activating Token Index: 625

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Text #18

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Max Act: 1.0598. Min Act: -0.0001

Data Index: 1140757 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #19

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Max Act: 1.1600. Min Act: -0.0001

Data Index: 725370 (C4 (Web Text))

Max Activating Token Index: 307

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