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

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

Neuron 1463 in Layer 5

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: 1.0018. Min Act: -0.0001

Data Index: 638906 (C4 (Web Text))

Max Activating Token Index: 698

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Text #1

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Data Index: 1009064 (C4 (Web Text))

Max Activating Token Index: 123

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Text #2

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Max Act: 0.9276. Min Act: -0.0001

Data Index: 118633 (C4 (Web Text))

Max Activating Token Index: 578

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Text #3

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Data Index: 1044186 (C4 (Web Text))

Max Activating Token Index: 18

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Text #4

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Data Index: 689978 (C4 (Web Text))

Max Activating Token Index: 956

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Text #5

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Data Index: 209753 (C4 (Web Text))

Max Activating Token Index: 157

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Text #6

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Data Index: 248620 (C4 (Web Text))

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Text #7

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Data Index: 1185565 (C4 (Web Text))

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Text #8

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Data Index: 1045698 (C4 (Web Text))

Max Activating Token Index: 724

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Text #9

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Data Index: 1269207 (C4 (Web Text))

Max Activating Token Index: 643

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Text #10

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Data Index: 544678 (C4 (Web Text))

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Text #11

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Data Index: 545752 (C4 (Web Text))

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Text #12

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Data Index: 670429 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1099249 (C4 (Web Text))

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Text #15

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Data Index: 851191 (C4 (Web Text))

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Text #16

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Data Index: 736245 (C4 (Web Text))

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Text #17

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Data Index: 1398339 (Python Code)

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Text #18

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Data Index: 1451573 (Python Code)

Max Activating Token Index: 602

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Text #19

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Data Index: 1242158 (C4 (Web Text))

Max Activating Token Index: 922

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