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

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

Neuron 4035 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: 0.1407. Min Act: -0.0002

Data Index: 126860 (C4 (Web Text))

Max Activating Token Index: 338

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Text #1

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Data Index: 1300968 (C4 (Web Text))

Max Activating Token Index: 371

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Text #2

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Data Index: 1235151 (C4 (Web Text))

Max Activating Token Index: 897

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Text #3

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Data Index: 560303 (C4 (Web Text))

Max Activating Token Index: 516

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Text #4

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Data Index: 1147003 (C4 (Web Text))

Max Activating Token Index: 74

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Text #5

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Text #6

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Data Index: 417936 (C4 (Web Text))

Max Activating Token Index: 444

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Text #7

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Text #8

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Data Index: 800278 (C4 (Web Text))

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Text #9

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Data Index: 906067 (C4 (Web Text))

Max Activating Token Index: 482

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Text #10

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Max Activating Token Index: 875

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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: 188004 (C4 (Web Text))

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Text #19

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Data Index: 835956 (C4 (Web Text))

Max Activating Token Index: 824

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