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

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

Neuron 5108 in Layer 4

Load this data into an Interactive Neuroscope

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



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Max Act: 0.0980. Min Act: -0.0000

Data Index: 1570733 (Python Code)

Max Activating Token Index: 339

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Text #1

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Data Index: 1459112 (Python Code)

Max Activating Token Index: 277

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Max Act: 0.0936. Min Act: -0.0000

Data Index: 1572865 (Python Code)

Max Activating Token Index: 864

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Text #3

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Max Act: 0.0873. Min Act: -0.0000

Data Index: 265740 (C4 (Web Text))

Max Activating Token Index: 377

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Text #4

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Data Index: 1414401 (Python Code)

Max Activating Token Index: 861

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Text #5

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Data Index: 1449710 (Python Code)

Max Activating Token Index: 524

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Data Index: 1445898 (Python Code)

Max Activating Token Index: 444

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Text #7

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Data Index: 1410226 (Python Code)

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Text #8

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Data Index: 1533650 (Python Code)

Max Activating Token Index: 332

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Text #9

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Data Index: 1526200 (Python Code)

Max Activating Token Index: 897

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Text #10

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Data Index: 678009 (C4 (Web Text))

Max Activating Token Index: 317

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Text #11

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Data Index: 1598472 (Python Code)

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Data Index: 1486747 (Python Code)

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Data Index: 1422322 (Python Code)

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Text #14

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Data Index: 1535234 (Python Code)

Max Activating Token Index: 603

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Text #15

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Data Index: 1608233 (Python Code)

Max Activating Token Index: 663

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Text #16

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Data Index: 1454032 (Python Code)

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Text #17

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Data Index: 1418251 (Python Code)

Max Activating Token Index: 984

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Text #18

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Data Index: 1508244 (Python Code)

Max Activating Token Index: 888

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Text #19

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Max Act: 0.0724. Min Act: -0.0000

Data Index: 1320748 (C4 (Web Text))

Max Activating Token Index: 820

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