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

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

Neuron 2511 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: 0.0467. Min Act: -0.0001

Data Index: 1068442 (C4 (Web Text))

Max Activating Token Index: 83

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Text #1

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Max Act: 0.0522. Min Act: -0.0001

Data Index: 680110 (C4 (Web Text))

Max Activating Token Index: 164

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Text #2

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Max Act: 0.0519. Min Act: -0.0001

Data Index: 506401 (C4 (Web Text))

Max Activating Token Index: 813

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Text #3

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Max Act: 0.0435. Min Act: -0.0001

Data Index: 766673 (C4 (Web Text))

Max Activating Token Index: 188

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Truncated

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Text #4

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Max Act: 0.0399. Min Act: -0.0001

Data Index: 865665 (C4 (Web Text))

Max Activating Token Index: 1017

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Truncated

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Text #5

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Max Act: 0.0394. Min Act: -0.0001

Data Index: 564825 (C4 (Web Text))

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Text #6

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Data Index: 1174684 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 494235 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

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Text #8

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Data Index: 238355 (C4 (Web Text))

Max Activating Token Index: 598

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Text #9

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Data Index: 999439 (C4 (Web Text))

Max Activating Token Index: 141

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Text #10

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Data Index: 14518 (C4 (Web Text))

Max Activating Token Index: 690

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Text #11

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Data Index: 1469687 (Python Code)

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Text #12

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Data Index: 489386 (C4 (Web Text))

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Text #13

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Data Index: 1586552 (Python Code)

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Text #14

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Data Index: 395015 (C4 (Web Text))

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Text #15

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Data Index: 1234517 (C4 (Web Text))

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Text #16

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Data Index: 1323765 (C4 (Web Text))

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Text #17

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Max Act: 0.0358. Min Act: -0.0001

Data Index: 243284 (C4 (Web Text))

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Text #18

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Data Index: 1070786 (C4 (Web Text))

Max Activating Token Index: 859

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Text #19

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Data Index: 450898 (C4 (Web Text))

Max Activating Token Index: 879

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