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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5201 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0431. Min Act: -0.0001

Data Index: 1131186 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0255. Min Act: -0.0001

Data Index: 1315287 (C4 (Web Text))

Max Activating Token Index: 789

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Truncated

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Text #2

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Max Act: 0.0234. Min Act: -0.0001

Data Index: 29686 (C4 (Web Text))

Max Activating Token Index: 529

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Text #3

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Max Act: 0.0191. Min Act: -0.0001

Data Index: 905338 (C4 (Web Text))

Max Activating Token Index: 673

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Truncated

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Text #4

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Data Index: 786587 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #5

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Data Index: 67790 (C4 (Web Text))

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Text #6

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Data Index: 989459 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 1137702 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #8

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Data Index: 770078 (C4 (Web Text))

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Text #9

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Data Index: 7467 (C4 (Web Text))

Max Activating Token Index: 857

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Text #10

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Text #11

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Text #12

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Data Index: 340965 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 255233 (C4 (Web Text))

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Text #15

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Data Index: 1148008 (C4 (Web Text))

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Text #16

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Data Index: 741774 (C4 (Web Text))

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Text #17

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Data Index: 1082215 (C4 (Web Text))

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Text #18

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Data Index: 920658 (C4 (Web Text))

Max Activating Token Index: 783

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Text #19

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Data Index: 282242 (C4 (Web Text))

Max Activating Token Index: 731

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