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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 6134 in Layer 9

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.9144. Min Act: -0.0000

Data Index: 1202989 (C4 (Web Text))

Max Activating Token Index: 856

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Text #1

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Data Index: 1323195 (C4 (Web Text))

Max Activating Token Index: 180

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Text #2

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Data Index: 1096152 (C4 (Web Text))

Max Activating Token Index: 959

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Text #3

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Data Index: 481145 (C4 (Web Text))

Max Activating Token Index: 544

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Text #4

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Data Index: 18658 (C4 (Web Text))

Max Activating Token Index: 676

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Text #5

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Data Index: 145699 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 121700 (C4 (Web Text))

Max Activating Token Index: 262

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Text #9

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Data Index: 1100106 (C4 (Web Text))

Max Activating Token Index: 755

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Text #10

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Data Index: 546499 (C4 (Web Text))

Max Activating Token Index: 834

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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: 572113 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 159

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