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

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

Neuron 3043 in Layer 4

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: 0.5190. Min Act: -0.0001

Data Index: 1093863 (C4 (Web Text))

Max Activating Token Index: 817

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Text #1

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Data Index: 350025 (C4 (Web Text))

Max Activating Token Index: 255

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Text #2

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Max Act: 0.5048. Min Act: -0.0001

Data Index: 840555 (C4 (Web Text))

Max Activating Token Index: 87

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Text #3

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Data Index: 886728 (C4 (Web Text))

Max Activating Token Index: 480

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Text #4

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Data Index: 481789 (C4 (Web Text))

Max Activating Token Index: 17

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Text #5

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Data Index: 1069982 (C4 (Web Text))

Max Activating Token Index: 850

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Text #6

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Data Index: 1106045 (C4 (Web Text))

Max Activating Token Index: 787

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Text #7

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Data Index: 379069 (C4 (Web Text))

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Text #8

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Data Index: 156528 (C4 (Web Text))

Max Activating Token Index: 682

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Text #9

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Data Index: 1300051 (C4 (Web Text))

Max Activating Token Index: 176

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Text #10

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Data Index: 131512 (C4 (Web Text))

Max Activating Token Index: 824

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Text #11

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Text #12

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Data Index: 298131 (C4 (Web Text))

Max Activating Token Index: 90

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Text #13

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Max Activating Token Index: 465

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Text #14

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Text #15

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Data Index: 591028 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 852817 (C4 (Web Text))

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Text #18

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Data Index: 718708 (C4 (Web Text))

Max Activating Token Index: 470

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Text #19

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Data Index: 1001075 (C4 (Web Text))

Max Activating Token Index: 77

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