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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3002 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.4203. Min Act: -0.0001

Data Index: 61943 (C4 (Web Text))

Max Activating Token Index: 713

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Text #1

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Data Index: 429091 (C4 (Web Text))

Max Activating Token Index: 327

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Text #2

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Max Act: 0.3562. Min Act: -0.0001

Data Index: 1071850 (C4 (Web Text))

Max Activating Token Index: 72

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Text #3

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Data Index: 346130 (C4 (Web Text))

Max Activating Token Index: 919

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Text #4

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Data Index: 213848 (C4 (Web Text))

Max Activating Token Index: 517

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Text #5

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Data Index: 1465891 (Python Code)

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Text #6

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Data Index: 1121458 (C4 (Web Text))

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Text #7

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Data Index: 394255 (C4 (Web Text))

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Text #8

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Data Index: 107656 (C4 (Web Text))

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Text #9

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Data Index: 1254416 (C4 (Web Text))

Max Activating Token Index: 622

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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: 1149511 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 299988 (C4 (Web Text))

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Text #19

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Data Index: 1456652 (Python Code)

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