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

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

Neuron 20 in Layer 3

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: 0.0521. Min Act: -0.0001

Data Index: 1002036 (C4 (Web Text))

Max Activating Token Index: 81

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Text #1

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Data Index: 756460 (C4 (Web Text))

Max Activating Token Index: 558

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Text #2

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Data Index: 1169855 (C4 (Web Text))

Max Activating Token Index: 375

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Text #3

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Data Index: 208805 (C4 (Web Text))

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Text #4

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Data Index: 1186006 (C4 (Web Text))

Max Activating Token Index: 20

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Text #5

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Text #6

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Data Index: 792849 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 701530 (C4 (Web Text))

Max Activating Token Index: 852

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Text #9

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Data Index: 483766 (C4 (Web Text))

Max Activating Token Index: 361

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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: 1121958 (C4 (Web Text))

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Text #18

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Data Index: 1255462 (C4 (Web Text))

Max Activating Token Index: 790

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Text #19

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Data Index: 235850 (C4 (Web Text))

Max Activating Token Index: 50

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