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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2473 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0459. Min Act: -0.0001

Data Index: 1343767 (C4 (Web Text))

Max Activating Token Index: 436

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Text #1

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Data Index: 1118451 (C4 (Web Text))

Max Activating Token Index: 948

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Text #2

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Max Act: 0.0390. Min Act: -0.0001

Data Index: 812620 (C4 (Web Text))

Max Activating Token Index: 99

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Text #3

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Data Index: 1349206 (C4 (Web Text))

Max Activating Token Index: 315

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Text #4

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Data Index: 937806 (C4 (Web Text))

Max Activating Token Index: 522

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Text #5

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Data Index: 703403 (C4 (Web Text))

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Text #6

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Data Index: 686594 (C4 (Web Text))

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Text #7

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Data Index: 592471 (C4 (Web Text))

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Text #8

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Data Index: 267213 (C4 (Web Text))

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Text #9

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Data Index: 634161 (C4 (Web Text))

Max Activating Token Index: 225

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Text #10

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Data Index: 1221523 (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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Data Index: 1560556 (Python Code)

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Text #16

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Text #17

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Data Index: 1098745 (C4 (Web Text))

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Text #18

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Data Index: 1341052 (C4 (Web Text))

Max Activating Token Index: 254

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Text #19

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Data Index: 1400433 (Python Code)

Max Activating Token Index: 785

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