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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1598 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.1469. Min Act: -0.0001

Data Index: 114 (C4 (Web Text))

Max Activating Token Index: 303

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Text #1

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Data Index: 1152035 (C4 (Web Text))

Max Activating Token Index: 351

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Text #2

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Max Act: 0.0941. Min Act: -0.0001

Data Index: 179571 (C4 (Web Text))

Max Activating Token Index: 484

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Text #3

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Max Act: 0.0880. Min Act: -0.0002

Data Index: 1295470 (C4 (Web Text))

Max Activating Token Index: 755

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Truncated

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Text #4

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Data Index: 1645673 (Python Code)

Max Activating Token Index: 734

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Text #5

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Data Index: 310971 (C4 (Web Text))

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Text #6

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Data Index: 277974 (C4 (Web Text))

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Text #7

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Data Index: 222975 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1237280 (C4 (Web Text))

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Text #9

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Data Index: 985447 (C4 (Web Text))

Max Activating Token Index: 935

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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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Text #16

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Text #17

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Text #18

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Data Index: 1482341 (Python Code)

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Text #19

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Data Index: 468364 (C4 (Web Text))

Max Activating Token Index: 583

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