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

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

Neuron 3722 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: 2.4367. Min Act: -0.0001

Data Index: 131922 (C4 (Web Text))

Max Activating Token Index: 16

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Text #1

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Data Index: 341812 (C4 (Web Text))

Max Activating Token Index: 478

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Text #2

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Data Index: 262325 (C4 (Web Text))

Max Activating Token Index: 25

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Text #3

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Data Index: 1055530 (C4 (Web Text))

Max Activating Token Index: 586

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Text #4

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Data Index: 980259 (C4 (Web Text))

Max Activating Token Index: 60

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Text #5

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Data Index: 72515 (C4 (Web Text))

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Text #6

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Data Index: 663693 (C4 (Web Text))

Max Activating Token Index: 658

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Text #7

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Text #8

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Text #9

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Data Index: 845493 (C4 (Web Text))

Max Activating Token Index: 956

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Text #10

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Data Index: 559704 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1412980 (Python Code)

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Text #13

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Data Index: 13197 (C4 (Web Text))

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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: 964405 (C4 (Web Text))

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Text #18

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Data Index: 755861 (C4 (Web Text))

Max Activating Token Index: 879

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Text #19

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Data Index: 1454951 (Python Code)

Max Activating Token Index: 133

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