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

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

Neuron 4027 in Layer 5

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: 2.5536. Min Act: -0.0000

Data Index: 1602849 (Python Code)

Max Activating Token Index: 200

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Text #1

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Data Index: 1471813 (Python Code)

Max Activating Token Index: 230

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Text #2

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Max Act: 1.5695. Min Act: -0.0000

Data Index: 481553 (C4 (Web Text))

Max Activating Token Index: 866

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Text #3

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Data Index: 1278438 (C4 (Web Text))

Max Activating Token Index: 905

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Text #4

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Data Index: 559836 (C4 (Web Text))

Max Activating Token Index: 660

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Text #5

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Data Index: 760620 (C4 (Web Text))

Max Activating Token Index: 507

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Text #6

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Data Index: 376961 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 708137 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #9

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Data Index: 1009632 (C4 (Web Text))

Max Activating Token Index: 888

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Text #10

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Text #11

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Text #12

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Data Index: 1254022 (C4 (Web Text))

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Text #13

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Data Index: 9775 (C4 (Web Text))

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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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Data Index: 1359510 (C4 (Web Text))

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Text #18

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Data Index: 739706 (C4 (Web Text))

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Text #19

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Data Index: 1454027 (Python Code)

Max Activating Token Index: 610

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