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

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

Neuron 3226 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0490. Min Act: -0.0002

Data Index: 104701 (C4 (Web Text))

Max Activating Token Index: 717

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Text #1

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Max Act: 0.0419. Min Act: -0.0002

Data Index: 822595 (C4 (Web Text))

Max Activating Token Index: 699

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Truncated

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Text #2

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0403. Min Act: -0.0002

Data Index: 493625 (C4 (Web Text))

Max Activating Token Index: 998

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Text #3

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0411. Min Act: -0.0002

Data Index: 1602284 (Python Code)

Max Activating Token Index: 913

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Truncated

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Text #4

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0390. Min Act: -0.0002

Data Index: 414240 (C4 (Web Text))

Max Activating Token Index: 110

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Truncated

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Text #5

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0402. Min Act: -0.0002

Data Index: 1025373 (C4 (Web Text))

Max Activating Token Index: 576

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Text #6

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 294041 (C4 (Web Text))

Max Activating Token Index: 665

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Truncated

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Text #7

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1588236 (Python Code)

Max Activating Token Index: 4

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Truncated

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Text #8

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 897329 (C4 (Web Text))

Max Activating Token Index: 51

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Text #9

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Max Act: 0.0380. Min Act: -0.0002

Data Index: 503105 (C4 (Web Text))

Max Activating Token Index: 241

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Text #10

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Max Act: 0.0390. Min Act: -0.0002

Data Index: 720293 (C4 (Web Text))

Max Activating Token Index: 6

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Text #11

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1189267 (C4 (Web Text))

Max Activating Token Index: 762

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Truncated

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Text #12

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Max Act: 0.0339. Min Act: -0.0002

Data Index: 727252 (C4 (Web Text))

Max Activating Token Index: 812

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Text #13

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Max Act: 0.0350. Min Act: -0.0002

Data Index: 1146660 (C4 (Web Text))

Max Activating Token Index: 583

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Truncated

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Text #14

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Max Act: 0.0376. Min Act: -0.0002

Data Index: 1234047 (C4 (Web Text))

Max Activating Token Index: 647

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Text #15

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Max Act: 0.0382. Min Act: -0.0002

Data Index: 823148 (C4 (Web Text))

Max Activating Token Index: 162

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Text #16

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 418656 (C4 (Web Text))

Max Activating Token Index: 510

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Text #17

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0354. Min Act: -0.0002

Data Index: 1512475 (Python Code)

Max Activating Token Index: 127

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Text #18

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0361. Min Act: -0.0002

Data Index: 288598 (C4 (Web Text))

Max Activating Token Index: 168

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Truncated

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Text #19

Max Range: 0.0490. Min Range: -0.0490

Max Act: 0.0394. Min Act: -0.0002

Data Index: 93436 (C4 (Web Text))

Max Activating Token Index: 704

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