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

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

Neuron 2017 in Layer 1

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: 8.7321. Min Act: -0.0006

Data Index: 1569812 (Python Code)

Max Activating Token Index: 971

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Text #1

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Data Index: 556200 (C4 (Web Text))

Max Activating Token Index: 969

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Text #2

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Max Act: 8.6595. Min Act: -0.0006

Data Index: 1612868 (Python Code)

Max Activating Token Index: 895

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Text #3

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Data Index: 1212205 (C4 (Web Text))

Max Activating Token Index: 958

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Text #4

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Data Index: 1362968 (Python Code)

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Text #5

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Data Index: 1573658 (Python Code)

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Text #6

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Data Index: 1647089 (Python Code)

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Text #7

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Text #8

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Data Index: 1589275 (Python Code)

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Text #9

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Data Index: 919090 (C4 (Web Text))

Max Activating Token Index: 952

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Text #10

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Data Index: 1591032 (Python Code)

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Text #11

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Data Index: 482424 (C4 (Web Text))

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Text #12

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Data Index: 1076712 (C4 (Web Text))

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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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Text #19

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Data Index: 1481823 (Python Code)

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