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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3222 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.4978. Min Act: -0.0002

Data Index: 833076 (C4 (Web Text))

Max Activating Token Index: 741

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Text #1

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Data Index: 376562 (C4 (Web Text))

Max Activating Token Index: 115

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Text #2

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Max Act: 0.6705. Min Act: -0.0002

Data Index: 1282432 (C4 (Web Text))

Max Activating Token Index: 643

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Text #3

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Data Index: 939 (C4 (Web Text))

Max Activating Token Index: 771

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Text #4

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Max Act: 0.5340. Min Act: -0.0002

Data Index: 1166353 (C4 (Web Text))

Max Activating Token Index: 846

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Text #5

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Data Index: 1042089 (C4 (Web Text))

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Text #6

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Text #7

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Max Activating Token Index: 946

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Text #8

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Data Index: 831004 (C4 (Web Text))

Max Activating Token Index: 889

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Text #9

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Data Index: 1247296 (C4 (Web Text))

Max Activating Token Index: 589

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Text #10

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Data Index: 128749 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1247213 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 190869 (C4 (Web Text))

Max Activating Token Index: 631

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Text #16

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Text #17

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Data Index: 1412964 (Python Code)

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Text #18

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Max Act: 0.6307. Min Act: -0.0002

Data Index: 8356 (C4 (Web Text))

Max Activating Token Index: 717

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Text #19

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Data Index: 1208785 (C4 (Web Text))

Max Activating Token Index: 181

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