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

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

Neuron 50 in Layer 6

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: 2.6909. Min Act: -0.0000

Data Index: 344140 (C4 (Web Text))

Max Activating Token Index: 414

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Text #1

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Data Index: 852390 (C4 (Web Text))

Max Activating Token Index: 804

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Text #2

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Max Act: 2.7705. Min Act: -0.0000

Data Index: 1245416 (C4 (Web Text))

Max Activating Token Index: 968

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Text #3

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Data Index: 855265 (C4 (Web Text))

Max Activating Token Index: 394

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Text #4

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Data Index: 1262392 (C4 (Web Text))

Max Activating Token Index: 79

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Text #5

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Data Index: 445637 (C4 (Web Text))

Max Activating Token Index: 877

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Text #6

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Data Index: 1157264 (C4 (Web Text))

Max Activating Token Index: 848

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Text #7

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Data Index: 351167 (C4 (Web Text))

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Text #8

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Data Index: 481455 (C4 (Web Text))

Max Activating Token Index: 381

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Text #9

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Data Index: 142020 (C4 (Web Text))

Max Activating Token Index: 491

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Text #10

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Data Index: 589438 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 586366 (C4 (Web Text))

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Text #13

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Data Index: 105777 (C4 (Web Text))

Max Activating Token Index: 597

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Text #14

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Text #15

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Data Index: 335080 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 374908 (C4 (Web Text))

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Text #18

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Max Act: 1.3908. Min Act: -0.0000

Data Index: 183434 (C4 (Web Text))

Max Activating Token Index: 68

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Text #19

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Data Index: 676722 (C4 (Web Text))

Max Activating Token Index: 65

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