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

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

Neuron 2458 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: 0.0256. Min Act: -0.0002

Data Index: 1244763 (C4 (Web Text))

Max Activating Token Index: 771

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Text #1

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Data Index: 1421622 (Python Code)

Max Activating Token Index: 8

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Text #2

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1561072 (Python Code)

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Text #3

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Data Index: 1156389 (C4 (Web Text))

Max Activating Token Index: 649

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Text #4

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Data Index: 220544 (C4 (Web Text))

Max Activating Token Index: 563

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Text #5

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Data Index: 154082 (C4 (Web Text))

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Text #6

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Data Index: 155226 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 179892 (C4 (Web Text))

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Text #9

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Data Index: 1245550 (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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Data Index: 47384 (C4 (Web Text))

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Text #14

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Data Index: 279045 (C4 (Web Text))

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Text #15

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Data Index: 531521 (C4 (Web Text))

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Text #16

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Data Index: 143528 (C4 (Web Text))

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Text #17

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Data Index: 376065 (C4 (Web Text))

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Text #18

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Data Index: 365319 (C4 (Web Text))

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Text #19

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Data Index: 842745 (C4 (Web Text))

Max Activating Token Index: 684

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