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

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

Neuron 1993 in Layer 3

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: 1.2971. Min Act: -0.0001

Data Index: 863470 (C4 (Web Text))

Max Activating Token Index: 832

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Text #1

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Data Index: 283914 (C4 (Web Text))

Max Activating Token Index: 823

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Text #2

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Data Index: 987454 (C4 (Web Text))

Max Activating Token Index: 684

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Text #3

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Data Index: 598996 (C4 (Web Text))

Max Activating Token Index: 974

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Text #4

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Data Index: 802307 (C4 (Web Text))

Max Activating Token Index: 377

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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: 765401 (C4 (Web Text))

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Text #9

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Data Index: 198109 (C4 (Web Text))

Max Activating Token Index: 973

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Text #10

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Data Index: 1411338 (Python Code)

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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: 1209956 (C4 (Web Text))

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Text #18

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Data Index: 1297735 (C4 (Web Text))

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Text #19

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Data Index: 1396278 (Python Code)

Max Activating Token Index: 569

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