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

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

Neuron 3024 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: 0.0863. Min Act: -0.0003

Data Index: 282614 (C4 (Web Text))

Max Activating Token Index: 186

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Text #1

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Data Index: 384778 (C4 (Web Text))

Max Activating Token Index: 539

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Text #2

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Data Index: 653030 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #3

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Data Index: 397690 (C4 (Web Text))

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Text #4

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Data Index: 931432 (C4 (Web Text))

Max Activating Token Index: 721

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 323069 (C4 (Web Text))

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Text #9

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Data Index: 712269 (C4 (Web Text))

Max Activating Token Index: 210

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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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Data Index: 128085 (C4 (Web Text))

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Text #18

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Data Index: 840392 (C4 (Web Text))

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Text #19

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Data Index: 639586 (C4 (Web Text))

Max Activating Token Index: 729

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