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

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

Neuron 68 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: 0.0969. Min Act: -0.0002

Data Index: 138946 (C4 (Web Text))

Max Activating Token Index: 300

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Text #1

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Data Index: 1307300 (C4 (Web Text))

Max Activating Token Index: 157

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Text #2

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Data Index: 31121 (C4 (Web Text))

Max Activating Token Index: 64

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Text #3

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Data Index: 501538 (C4 (Web Text))

Max Activating Token Index: 540

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Truncated

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Text #4

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Data Index: 200813 (C4 (Web Text))

Max Activating Token Index: 960

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Truncated

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Text #5

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Data Index: 1091028 (C4 (Web Text))

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Text #6

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Data Index: 1174909 (C4 (Web Text))

Max Activating Token Index: 763

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Text #7

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Truncated

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Text #8

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Data Index: 1348510 (C4 (Web Text))

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Text #9

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Data Index: 484044 (C4 (Web Text))

Max Activating Token Index: 904

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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: 582863 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 553

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