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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3754 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 796778 (C4 (Web Text))

Max Activating Token Index: 88

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Text #1

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Data Index: 1212904 (C4 (Web Text))

Max Activating Token Index: 885

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Text #2

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Data Index: 1062834 (C4 (Web Text))

Max Activating Token Index: 840

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Text #3

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Data Index: 1335904 (C4 (Web Text))

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Text #4

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Data Index: 890585 (C4 (Web Text))

Max Activating Token Index: 879

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 1020259 (C4 (Web Text))

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Text #9

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Data Index: 597495 (C4 (Web Text))

Max Activating Token Index: 912

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Text #10

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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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Text #18

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Data Index: 1611863 (Python Code)

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Text #19

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Data Index: 662764 (C4 (Web Text))

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