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

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

Neuron 2114 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.8603. Min Range: -4.8603

Max Act: 4.8603. Min Act: -0.0000

Data Index: 375600 (C4 (Web Text))

Max Activating Token Index: 341

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Text #1

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Max Act: 2.6849. Min Act: -0.0000

Data Index: 310203 (C4 (Web Text))

Max Activating Token Index: 668

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Text #2

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Max Act: 2.5456. Min Act: -0.0000

Data Index: 1034774 (C4 (Web Text))

Max Activating Token Index: 784

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Text #3

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Max Act: 2.6427. Min Act: -0.0000

Data Index: 1126940 (C4 (Web Text))

Max Activating Token Index: 837

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Text #4

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Max Act: 2.3857. Min Act: -0.0000

Data Index: 527960 (C4 (Web Text))

Max Activating Token Index: 821

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Text #5

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Max Act: 2.7032. Min Act: -0.0000

Data Index: 604838 (C4 (Web Text))

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Text #6

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Data Index: 788683 (C4 (Web Text))

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Text #7

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Data Index: 1318766 (C4 (Web Text))

Max Activating Token Index: 83

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Text #8

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Data Index: 1265490 (C4 (Web Text))

Max Activating Token Index: 267

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Text #9

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Data Index: 352523 (C4 (Web Text))

Max Activating Token Index: 297

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Text #10

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Data Index: 969315 (C4 (Web Text))

Max Activating Token Index: 437

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Text #11

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Text #12

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Data Index: 458823 (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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Data Index: 1482780 (Python Code)

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Text #16

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Text #17

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Data Index: 1466455 (Python Code)

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Text #18

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Max Act: 2.3004. Min Act: -0.0000

Data Index: 136259 (C4 (Web Text))

Max Activating Token Index: 54

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Text #19

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Data Index: 651630 (C4 (Web Text))

Max Activating Token Index: 352

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