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

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

Neuron 4064 in Layer 6

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: 1.5870. Min Act: -0.0000

Data Index: 348518 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #1

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Data Index: 94609 (C4 (Web Text))

Max Activating Token Index: 312

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Text #2

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Max Act: 1.5546. Min Act: -0.0000

Data Index: 1038293 (C4 (Web Text))

Max Activating Token Index: 449

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Text #3

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Max Act: 1.5116. Min Act: -0.0001

Data Index: 616138 (C4 (Web Text))

Max Activating Token Index: 616

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Text #4

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Data Index: 1062324 (C4 (Web Text))

Max Activating Token Index: 614

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Text #5

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Data Index: 331077 (C4 (Web Text))

Max Activating Token Index: 243

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Text #6

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Data Index: 1151355 (C4 (Web Text))

Max Activating Token Index: 600

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Text #7

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Data Index: 675050 (C4 (Web Text))

Max Activating Token Index: 176

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Text #8

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Data Index: 594494 (C4 (Web Text))

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Text #9

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Data Index: 1003558 (C4 (Web Text))

Max Activating Token Index: 278

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Text #10

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Data Index: 635595 (C4 (Web Text))

Max Activating Token Index: 338

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Text #11

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Text #12

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Data Index: 758454 (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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Data Index: 661910 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 272907 (C4 (Web Text))

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Text #18

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Data Index: 1159741 (C4 (Web Text))

Max Activating Token Index: 83

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Text #19

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Data Index: 422920 (C4 (Web Text))

Max Activating Token Index: 141

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