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

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

Neuron 1107 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: 0.2010. Min Act: -0.0002

Data Index: 761621 (C4 (Web Text))

Max Activating Token Index: 348

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Text #1

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Max Act: 0.1594. Min Act: -0.0002

Data Index: 69314 (C4 (Web Text))

Max Activating Token Index: 528

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Text #2

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Max Act: 0.1583. Min Act: -0.0002

Data Index: 1007284 (C4 (Web Text))

Max Activating Token Index: 296

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Text #3

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Data Index: 468949 (C4 (Web Text))

Max Activating Token Index: 330

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Text #4

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Data Index: 643948 (C4 (Web Text))

Max Activating Token Index: 833

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Text #5

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Data Index: 799269 (C4 (Web Text))

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Text #6

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Data Index: 743807 (C4 (Web Text))

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Text #7

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Data Index: 680423 (C4 (Web Text))

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Text #8

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Data Index: 1540404 (Python Code)

Max Activating Token Index: 219

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Text #9

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Data Index: 1045831 (C4 (Web Text))

Max Activating Token Index: 183

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Text #10

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Data Index: 913947 (C4 (Web Text))

Max Activating Token Index: 765

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Text #11

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Data Index: 1361120 (Python Code)

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Text #12

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Text #13

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Data Index: 1144643 (C4 (Web Text))

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Text #14

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Data Index: 406177 (C4 (Web Text))

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Text #15

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Data Index: 688351 (C4 (Web Text))

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Text #16

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Data Index: 700994 (C4 (Web Text))

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Text #17

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Data Index: 516894 (C4 (Web Text))

Max Activating Token Index: 492

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Text #18

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Data Index: 669212 (C4 (Web Text))

Max Activating Token Index: 760

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Text #19

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Max Act: 0.1394. Min Act: -0.0002

Data Index: 397077 (C4 (Web Text))

Max Activating Token Index: 941

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