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

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

Neuron 3039 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: 0.6078. Min Act: -0.0003

Data Index: 1351636 (C4 (Web Text))

Max Activating Token Index: 774

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Text #1

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Data Index: 273212 (C4 (Web Text))

Max Activating Token Index: 714

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Text #2

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Data Index: 179386 (C4 (Web Text))

Max Activating Token Index: 912

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Text #3

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Data Index: 591588 (C4 (Web Text))

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Text #4

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Data Index: 1354110 (C4 (Web Text))

Max Activating Token Index: 682

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Text #5

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Data Index: 1158730 (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: 81910 (C4 (Web Text))

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Text #9

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Data Index: 1070495 (C4 (Web Text))

Max Activating Token Index: 784

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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: 83683 (C4 (Web Text))

Max Activating Token Index: 483

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Text #19

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Data Index: 1055968 (C4 (Web Text))

Max Activating Token Index: 700

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