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

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

Neuron 5116 in Layer 2

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: 0.0170. Min Act: -0.0002

Data Index: 761357 (C4 (Web Text))

Max Activating Token Index: 226

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Text #1

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Data Index: 641752 (C4 (Web Text))

Max Activating Token Index: 226

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Text #2

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Data Index: 305538 (C4 (Web Text))

Max Activating Token Index: 381

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Text #3

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Data Index: 1130562 (C4 (Web Text))

Max Activating Token Index: 340

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Text #4

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Data Index: 813208 (C4 (Web Text))

Max Activating Token Index: 658

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Text #5

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Data Index: 67227 (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: 540739 (C4 (Web Text))

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Text #9

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Data Index: 705324 (C4 (Web Text))

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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: 1496044 (Python Code)

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Text #18

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Data Index: 326322 (C4 (Web Text))

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Text #19

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Data Index: 45160 (C4 (Web Text))

Max Activating Token Index: 874

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