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

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

Neuron 1725 in Layer 8

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: 2.6845. Min Act: -0.0000

Data Index: 325163 (C4 (Web Text))

Max Activating Token Index: 824

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Text #1

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Data Index: 746355 (C4 (Web Text))

Max Activating Token Index: 622

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Text #2

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Max Act: 2.1104. Min Act: -0.0000

Data Index: 289427 (C4 (Web Text))

Max Activating Token Index: 966

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Text #3

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Max Act: 1.9848. Min Act: -0.0000

Data Index: 1083647 (C4 (Web Text))

Max Activating Token Index: 642

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Text #4

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Data Index: 608629 (C4 (Web Text))

Max Activating Token Index: 573

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Text #5

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Data Index: 744927 (C4 (Web Text))

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Text #6

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Data Index: 1065978 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1313547 (C4 (Web Text))

Max Activating Token Index: 401

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Text #9

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Data Index: 1277334 (C4 (Web Text))

Max Activating Token Index: 93

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Text #10

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Data Index: 103936 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 450795 (C4 (Web Text))

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Text #18

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Data Index: 1464246 (Python Code)

Max Activating Token Index: 268

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Text #19

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Data Index: 1241657 (C4 (Web Text))

Max Activating Token Index: 679

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