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

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

Neuron 4079 in Layer 4

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: 2.7732. Min Act: -0.0001

Data Index: 10325 (C4 (Web Text))

Max Activating Token Index: 884

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Text #1

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Data Index: 527973 (C4 (Web Text))

Max Activating Token Index: 512

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Text #2

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Data Index: 477481 (C4 (Web Text))

Max Activating Token Index: 707

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Text #3

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Data Index: 111867 (C4 (Web Text))

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Text #4

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Data Index: 1252391 (C4 (Web Text))

Max Activating Token Index: 593

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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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Text #9

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Data Index: 288637 (C4 (Web Text))

Max Activating Token Index: 375

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Text #10

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Data Index: 55411 (C4 (Web Text))

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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: 5013 (C4 (Web Text))

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Text #18

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Data Index: 307436 (C4 (Web Text))

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Text #19

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Data Index: 522125 (C4 (Web Text))

Max Activating Token Index: 876

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