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

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

Neuron 3070 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: 0.1139. Min Act: -0.0001

Data Index: 61168 (C4 (Web Text))

Max Activating Token Index: 662

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Text #1

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Data Index: 183522 (C4 (Web Text))

Max Activating Token Index: 648

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Text #2

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Data Index: 327203 (C4 (Web Text))

Max Activating Token Index: 129

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Text #3

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Data Index: 69698 (C4 (Web Text))

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Text #4

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Data Index: 930811 (C4 (Web Text))

Max Activating Token Index: 448

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Text #5

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Data Index: 1240529 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1194365 (C4 (Web Text))

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Text #9

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Data Index: 604901 (C4 (Web Text))

Max Activating Token Index: 796

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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: 431660 (C4 (Web Text))

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Text #19

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Data Index: 456214 (C4 (Web Text))

Max Activating Token Index: 480

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