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

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

Neuron 630 in Layer 9

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



Text #0

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Max Act: 0.3182. Min Act: -0.0000

Data Index: 638087 (C4 (Web Text))

Max Activating Token Index: 325

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Text #1

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Max Act: 0.2943. Min Act: -0.0000

Data Index: 1367931 (Python Code)

Max Activating Token Index: 935

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Text #2

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Max Act: 0.2908. Min Act: -0.0000

Data Index: 827198 (C4 (Web Text))

Max Activating Token Index: 852

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Text #3

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Max Act: 0.2408. Min Act: -0.0000

Data Index: 1067140 (C4 (Web Text))

Max Activating Token Index: 577

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Text #4

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Max Act: 0.2154. Min Act: -0.0000

Data Index: 337443 (C4 (Web Text))

Max Activating Token Index: 395

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Text #5

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Data Index: 591870 (C4 (Web Text))

Max Activating Token Index: 311

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Text #6

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Data Index: 227854 (C4 (Web Text))

Max Activating Token Index: 272

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Text #7

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Data Index: 1546355 (Python Code)

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Text #8

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Data Index: 366001 (C4 (Web Text))

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Text #9

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Data Index: 1291090 (C4 (Web Text))

Max Activating Token Index: 955

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Text #10

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Data Index: 1151294 (C4 (Web Text))

Max Activating Token Index: 881

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Text #11

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Data Index: 95749 (C4 (Web Text))

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Text #12

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Data Index: 614768 (C4 (Web Text))

Max Activating Token Index: 665

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Text #13

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Data Index: 902841 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 680067 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 327543 (C4 (Web Text))

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Text #18

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Data Index: 1301351 (C4 (Web Text))

Max Activating Token Index: 89

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Text #19

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Data Index: 250358 (C4 (Web Text))

Max Activating Token Index: 325

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