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

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

Neuron 2794 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: 0.0706. Min Act: -0.0001

Data Index: 588898 (C4 (Web Text))

Max Activating Token Index: 120

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Text #1

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Max Act: 0.0624. Min Act: -0.0001

Data Index: 782188 (C4 (Web Text))

Max Activating Token Index: 581

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Text #2

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Max Act: 0.0600. Min Act: -0.0001

Data Index: 990147 (C4 (Web Text))

Max Activating Token Index: 313

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Text #3

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Max Act: 0.0507. Min Act: -0.0001

Data Index: 741717 (C4 (Web Text))

Max Activating Token Index: 751

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Text #4

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Data Index: 1227689 (C4 (Web Text))

Max Activating Token Index: 563

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Text #5

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Data Index: 1305408 (C4 (Web Text))

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Text #6

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Data Index: 112796 (C4 (Web Text))

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Text #7

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Data Index: 770200 (C4 (Web Text))

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Text #8

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Data Index: 244627 (C4 (Web Text))

Max Activating Token Index: 383

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Text #9

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Data Index: 651910 (C4 (Web Text))

Max Activating Token Index: 488

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Text #10

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Data Index: 1612246 (Python Code)

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Text #11

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Text #12

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Data Index: 517957 (C4 (Web Text))

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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: 1593129 (Python Code)

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Text #18

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Data Index: 1511460 (Python Code)

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Text #19

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Data Index: 623010 (C4 (Web Text))

Max Activating Token Index: 806

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