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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 546 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0293. Min Act: -0.0001

Data Index: 1335350 (C4 (Web Text))

Max Activating Token Index: 380

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Text #1

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Max Act: 0.0280. Min Act: -0.0001

Data Index: 514200 (C4 (Web Text))

Max Activating Token Index: 169

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Text #2

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Data Index: 1293816 (C4 (Web Text))

Max Activating Token Index: 965

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Text #3

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Data Index: 994168 (C4 (Web Text))

Max Activating Token Index: 933

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Text #4

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Data Index: 25665 (C4 (Web Text))

Max Activating Token Index: 451

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Text #5

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Data Index: 963737 (C4 (Web Text))

Max Activating Token Index: 194

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Text #6

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Data Index: 1536706 (Python Code)

Max Activating Token Index: 251

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Text #7

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Data Index: 57152 (C4 (Web Text))

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Text #8

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Data Index: 361492 (C4 (Web Text))

Max Activating Token Index: 136

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Text #9

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Data Index: 446590 (C4 (Web Text))

Max Activating Token Index: 813

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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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Data Index: 576538 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 974906 (C4 (Web Text))

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Text #18

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Data Index: 419554 (C4 (Web Text))

Max Activating Token Index: 197

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Text #19

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Data Index: 243005 (C4 (Web Text))

Max Activating Token Index: 164

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