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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2825 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0568. Min Act: -0.0003

Data Index: 1053519 (C4 (Web Text))

Max Activating Token Index: 702

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Text #1

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Max Act: 0.0477. Min Act: -0.0003

Data Index: 1297401 (C4 (Web Text))

Max Activating Token Index: 54

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Text #2

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 354335 (C4 (Web Text))

Max Activating Token Index: 590

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Text #3

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Max Act: 0.0494. Min Act: -0.0003

Data Index: 572730 (C4 (Web Text))

Max Activating Token Index: 740

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Text #4

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Data Index: 1168729 (C4 (Web Text))

Max Activating Token Index: 563

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Text #5

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Data Index: 1478321 (Python Code)

Max Activating Token Index: 104

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Text #6

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Data Index: 276964 (C4 (Web Text))

Max Activating Token Index: 205

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Text #7

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Data Index: 334719 (C4 (Web Text))

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Text #8

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Data Index: 791952 (C4 (Web Text))

Max Activating Token Index: 615

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Text #9

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Data Index: 1094425 (C4 (Web Text))

Max Activating Token Index: 542

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Text #10

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Data Index: 1620631 (Python Code)

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Text #11

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Text #12

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Data Index: 1019783 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1281496 (C4 (Web Text))

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Text #15

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Data Index: 1170147 (C4 (Web Text))

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Text #16

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Data Index: 250557 (C4 (Web Text))

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Text #17

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Data Index: 1476101 (Python Code)

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Text #18

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Data Index: 266965 (C4 (Web Text))

Max Activating Token Index: 520

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Text #19

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Data Index: 1010241 (C4 (Web Text))

Max Activating Token Index: 212

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