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

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

Neuron 3038 in Layer 3

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: 0.5906. Min Act: -0.0001

Data Index: 443161 (C4 (Web Text))

Max Activating Token Index: 973

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Text #1

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Data Index: 1019126 (C4 (Web Text))

Max Activating Token Index: 419

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Text #2

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Data Index: 135595 (C4 (Web Text))

Max Activating Token Index: 121

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Text #3

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Data Index: 896337 (C4 (Web Text))

Max Activating Token Index: 637

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Truncated

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Text #4

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Max Activating Token Index: 364

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Text #5

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Data Index: 1008564 (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: 753495 (C4 (Web Text))

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Text #9

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Data Index: 1192010 (C4 (Web Text))

Max Activating Token Index: 78

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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: 951392 (C4 (Web Text))

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Text #19

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Data Index: 152184 (C4 (Web Text))

Max Activating Token Index: 770

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