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

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

Neuron 4050 in Layer 2

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: 1.3646. Min Act: -0.0001

Data Index: 259498 (C4 (Web Text))

Max Activating Token Index: 390

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Text #1

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Data Index: 373565 (C4 (Web Text))

Max Activating Token Index: 24

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Text #2

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Data Index: 370488 (C4 (Web Text))

Max Activating Token Index: 82

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Text #3

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Data Index: 1259006 (C4 (Web Text))

Max Activating Token Index: 125

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Text #4

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Data Index: 268734 (C4 (Web Text))

Max Activating Token Index: 1016

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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: 673754 (C4 (Web Text))

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Text #9

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Data Index: 424322 (C4 (Web Text))

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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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Data Index: 366671 (C4 (Web Text))

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Text #18

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Data Index: 1033300 (C4 (Web Text))

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Text #19

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Data Index: 719389 (C4 (Web Text))

Max Activating Token Index: 386

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