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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4081 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0217. Min Act: -0.0001

Data Index: 721024 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 454802 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0192. Min Act: -0.0001

Data Index: 1027377 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Data Index: 841877 (C4 (Web Text))

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Text #4

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Data Index: 178489 (C4 (Web Text))

Max Activating Token Index: 293

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Text #5

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Data Index: 373684 (C4 (Web Text))

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Text #6

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Data Index: 152036 (C4 (Web Text))

Max Activating Token Index: 932

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Text #7

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Data Index: 195873 (C4 (Web Text))

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Text #8

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Data Index: 600551 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 1088142 (C4 (Web Text))

Max Activating Token Index: 431

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Text #10

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Data Index: 1081280 (C4 (Web Text))

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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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Data Index: 1241033 (C4 (Web Text))

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Text #18

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Data Index: 649893 (C4 (Web Text))

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Text #19

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Data Index: 1091372 (C4 (Web Text))

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