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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4093 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.1450. Min Act: -0.0001

Data Index: 317335 (C4 (Web Text))

Max Activating Token Index: 130

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Text #1

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Data Index: 1233715 (C4 (Web Text))

Max Activating Token Index: 458

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Text #2

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Max Act: 0.1324. Min Act: -0.0001

Data Index: 643965 (C4 (Web Text))

Max Activating Token Index: 355

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Text #3

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Max Act: 0.1207. Min Act: -0.0001

Data Index: 1230354 (C4 (Web Text))

Max Activating Token Index: 787

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Text #4

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Data Index: 570962 (C4 (Web Text))

Max Activating Token Index: 891

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Text #5

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Data Index: 732428 (C4 (Web Text))

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Text #6

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Data Index: 141923 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 987961 (C4 (Web Text))

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Text #8

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Data Index: 436808 (C4 (Web Text))

Max Activating Token Index: 83

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Text #9

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Data Index: 193730 (C4 (Web Text))

Max Activating Token Index: 144

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Text #10

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Data Index: 787137 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1047970 (C4 (Web Text))

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Text #13

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Data Index: 1131960 (C4 (Web Text))

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Text #14

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Data Index: 1096817 (C4 (Web Text))

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Text #15

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Data Index: 1561438 (Python Code)

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Text #16

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Data Index: 1570468 (Python Code)

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Text #17

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Max Act: 0.1111. Min Act: -0.0001

Data Index: 487262 (C4 (Web Text))

Max Activating Token Index: 898

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Text #18

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Data Index: 203702 (C4 (Web Text))

Max Activating Token Index: 471

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Text #19

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Data Index: 22494 (C4 (Web Text))

Max Activating Token Index: 325

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