Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1991 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 146461 (C4 (Web Text))

Max Activating Token Index: 857

Text #1

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 429696 (C4 (Web Text))

Max Activating Token Index: 823

Text #2

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 653328 (C4 (Web Text))

Max Activating Token Index: 896

Text #3

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 375309 (C4 (Web Text))

Max Activating Token Index: 575

Text #4

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1131148 (C4 (Web Text))

Max Activating Token Index: 631

Text #5

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 204249 (C4 (Web Text))

Max Activating Token Index: 635

Text #6

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Data Index: 1633969 (Python Code)

Max Activating Token Index: 640

Text #7

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Data Index: 577840 (C4 (Web Text))

Max Activating Token Index: 723

Text #8

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Data Index: 1631628 (Python Code)

Max Activating Token Index: 763

Text #9

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Data Index: 715300 (C4 (Web Text))

Max Activating Token Index: 163

Text #10

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Max Activating Token Index: 791

Text #11

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Max Activating Token Index: 543

Text #12

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Max Activating Token Index: 901

Text #13

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Data Index: 599321 (C4 (Web Text))

Max Activating Token Index: 304

Text #14

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Data Index: 471095 (C4 (Web Text))

Max Activating Token Index: 731

Text #15

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Max Activating Token Index: 509

Text #16

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Text #17

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Max Activating Token Index: 531

Text #18

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Max Activating Token Index: 597

Text #19

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 979412 (C4 (Web Text))

Max Activating Token Index: 609