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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 194 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0397. Min Act: -0.0006

Data Index: 884850 (C4 (Web Text))

Max Activating Token Index: 155

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Text #1

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Max Act: 0.0393. Min Act: -0.0006

Data Index: 1078311 (C4 (Web Text))

Max Activating Token Index: 343

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Text #2

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Max Act: 0.0346. Min Act: -0.0006

Data Index: 618745 (C4 (Web Text))

Max Activating Token Index: 524

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Text #3

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Max Act: 0.0325. Min Act: -0.0006

Data Index: 765549 (C4 (Web Text))

Max Activating Token Index: 621

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Text #4

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Data Index: 105849 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #5

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Max Act: 0.0313. Min Act: -0.0006

Data Index: 1187295 (C4 (Web Text))

Max Activating Token Index: 338

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Text #6

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Data Index: 1116808 (C4 (Web Text))

Max Activating Token Index: 624

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Text #7

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Data Index: 323851 (C4 (Web Text))

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Text #8

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Data Index: 978422 (C4 (Web Text))

Max Activating Token Index: 934

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Text #9

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Data Index: 254715 (C4 (Web Text))

Max Activating Token Index: 391

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Text #10

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Data Index: 939670 (C4 (Web Text))

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Text #11

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Data Index: 255305 (C4 (Web Text))

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Text #12

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Data Index: 125102 (C4 (Web Text))

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Text #13

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Data Index: 963507 (C4 (Web Text))

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Text #14

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Data Index: 1312067 (C4 (Web Text))

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Text #15

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Data Index: 1622166 (Python Code)

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Text #16

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Data Index: 1500624 (Python Code)

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Text #17

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Data Index: 568415 (C4 (Web Text))

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Text #18

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 1002201 (C4 (Web Text))

Max Activating Token Index: 935

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Text #19

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 551146 (C4 (Web Text))

Max Activating Token Index: 506

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