Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 712 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0473. Min Act: -0.0005

Data Index: 614319 (C4 (Web Text))

Max Activating Token Index: 156

Text #1

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Max Activating Token Index: 880

Text #2

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Max Act: 0.0423. Min Act: -0.0005

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Max Activating Token Index: 692

Text #3

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Max Act: 0.0410. Min Act: -0.0005

Data Index: 648353 (C4 (Web Text))

Max Activating Token Index: 244

Text #4

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Data Index: 376370 (C4 (Web Text))

Max Activating Token Index: 399

Text #5

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Data Index: 72042 (C4 (Web Text))

Max Activating Token Index: 695

Text #6

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Max Activating Token Index: 359

Text #7

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Max Activating Token Index: 870

Text #8

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Max Activating Token Index: 674

Text #9

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Max Activating Token Index: 123

Text #10

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Data Index: 164602 (C4 (Web Text))

Max Activating Token Index: 397

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Max Activating Token Index: 718

Text #12

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Max Activating Token Index: 511

Text #13

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Data Index: 1324541 (C4 (Web Text))

Max Activating Token Index: 274

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 274

Text #19

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Data Index: 298384 (C4 (Web Text))

Max Activating Token Index: 599