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

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

Neuron 16 in Layer 4

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: 3.9687. Min Act: -0.0000

Data Index: 943948 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #1

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Data Index: 150118 (C4 (Web Text))

Max Activating Token Index: 239

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Text #2

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Data Index: 623261 (C4 (Web Text))

Max Activating Token Index: 220

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Text #3

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Data Index: 1242447 (C4 (Web Text))

Max Activating Token Index: 860

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Text #4

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Data Index: 718788 (C4 (Web Text))

Max Activating Token Index: 385

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Text #5

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Data Index: 774638 (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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Text #9

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Data Index: 132860 (C4 (Web Text))

Max Activating Token Index: 410

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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: 514766 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 42

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