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

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

Neuron 1965 in Layer 3

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: 0.0400. Min Act: -0.0001

Data Index: 295979 (C4 (Web Text))

Max Activating Token Index: 126

Text #1

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Max Act: 0.0375. Min Act: -0.0001

Data Index: 1067493 (C4 (Web Text))

Max Activating Token Index: 374

Text #2

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Max Act: 0.0357. Min Act: -0.0001

Data Index: 342598 (C4 (Web Text))

Max Activating Token Index: 413

Text #3

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Max Act: 0.0369. Min Act: -0.0001

Data Index: 749520 (C4 (Web Text))

Max Activating Token Index: 703

Text #4

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Max Activating Token Index: 120

Text #5

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Data Index: 409634 (C4 (Web Text))

Max Activating Token Index: 536

Text #6

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Max Activating Token Index: 297

Text #7

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Max Activating Token Index: 374

Text #8

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Max Activating Token Index: 456

Text #9

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Max Activating Token Index: 580

Text #10

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Max Activating Token Index: 254

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Max Activating Token Index: 319

Text #12

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Max Activating Token Index: 348

Text #13

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Max Activating Token Index: 549

Text #14

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Max Activating Token Index: 463

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 660

Text #18

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Text #19

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Data Index: 579329 (C4 (Web Text))

Max Activating Token Index: 611