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

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

Neuron 650 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: 0.1435. Min Act: -0.0001

Data Index: 533408 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #1

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Data Index: 182367 (C4 (Web Text))

Max Activating Token Index: 47

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Text #2

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Data Index: 1120268 (C4 (Web Text))

Max Activating Token Index: 60

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Text #3

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Data Index: 133409 (C4 (Web Text))

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Text #4

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Data Index: 776996 (C4 (Web Text))

Max Activating Token Index: 45

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Text #5

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Data Index: 732229 (C4 (Web Text))

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Text #6

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Data Index: 873253 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 634771 (C4 (Web Text))

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Text #9

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Data Index: 1248251 (C4 (Web Text))

Max Activating Token Index: 89

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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: 727518 (C4 (Web Text))

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Text #19

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Data Index: 271595 (C4 (Web Text))

Max Activating Token Index: 25

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