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

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

Neuron 6 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: 0.6536. Min Act: -0.0001

Data Index: 1182329 (C4 (Web Text))

Max Activating Token Index: 708

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Text #1

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Data Index: 1189598 (C4 (Web Text))

Max Activating Token Index: 338

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Text #2

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Data Index: 432154 (C4 (Web Text))

Max Activating Token Index: 767

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Text #3

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Data Index: 886066 (C4 (Web Text))

Max Activating Token Index: 692

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Text #4

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Data Index: 274971 (C4 (Web Text))

Max Activating Token Index: 282

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Text #5

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Data Index: 858856 (C4 (Web Text))

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Text #6

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Data Index: 1193184 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1158607 (C4 (Web Text))

Max Activating Token Index: 207

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Text #9

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Data Index: 101234 (C4 (Web Text))

Max Activating Token Index: 866

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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: 945336 (C4 (Web Text))

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Text #18

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Data Index: 873225 (C4 (Web Text))

Max Activating Token Index: 991

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Text #19

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Data Index: 1311586 (C4 (Web Text))

Max Activating Token Index: 610

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