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

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

Neuron 2017 in Layer 3

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: 0.0455. Min Act: -0.0002

Data Index: 1116310 (C4 (Web Text))

Max Activating Token Index: 365

Text #1

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 792536 (C4 (Web Text))

Max Activating Token Index: 445

Text #2

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Max Act: 0.0461. Min Act: -0.0002

Data Index: 199009 (C4 (Web Text))

Max Activating Token Index: 644

Text #3

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 962138 (C4 (Web Text))

Max Activating Token Index: 274

Text #4

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Max Act: 0.0427. Min Act: -0.0002

Data Index: 1229965 (C4 (Web Text))

Max Activating Token Index: 238

Text #5

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Data Index: 900056 (C4 (Web Text))

Max Activating Token Index: 339

Text #6

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Max Activating Token Index: 324

Text #7

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Max Activating Token Index: 928

Text #8

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Data Index: 357801 (C4 (Web Text))

Max Activating Token Index: 283

Text #9

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Max Activating Token Index: 381

Text #10

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Max Activating Token Index: 648

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Data Index: 27647 (C4 (Web Text))

Max Activating Token Index: 505

Text #12

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Max Activating Token Index: 204

Text #13

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Data Index: 1318391 (C4 (Web Text))

Max Activating Token Index: 351

Text #14

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Max Activating Token Index: 570

Text #15

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Max Activating Token Index: 483

Text #16

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Max Activating Token Index: 204

Text #17

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Max Activating Token Index: 398

Text #18

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Max Activating Token Index: 518

Text #19

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Data Index: 32031 (C4 (Web Text))

Max Activating Token Index: 161