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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4087 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.8896. Min Act: -0.0001

Data Index: 239927 (C4 (Web Text))

Max Activating Token Index: 602

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Text #1

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Data Index: 314530 (C4 (Web Text))

Max Activating Token Index: 688

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Truncated

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Text #2

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Max Act: 0.8550. Min Act: -0.0001

Data Index: 280333 (C4 (Web Text))

Max Activating Token Index: 1003

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Text #3

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Data Index: 665008 (C4 (Web Text))

Max Activating Token Index: 820

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Truncated

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Text #4

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Data Index: 397280 (C4 (Web Text))

Max Activating Token Index: 852

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Text #5

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Data Index: 691672 (C4 (Web Text))

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Text #6

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Data Index: 856565 (C4 (Web Text))

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Text #7

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Data Index: 57718 (C4 (Web Text))

Max Activating Token Index: 575

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Text #8

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Data Index: 1001556 (C4 (Web Text))

Max Activating Token Index: 734

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Text #9

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Data Index: 1205820 (C4 (Web Text))

Max Activating Token Index: 923

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Text #10

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Max Activating Token Index: 46

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Text #11

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Text #12

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Data Index: 403817 (C4 (Web Text))

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Text #13

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Data Index: 326730 (C4 (Web Text))

Max Activating Token Index: 866

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Text #14

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Text #15

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Data Index: 137834 (C4 (Web Text))

Max Activating Token Index: 961

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Text #16

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Text #17

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Text #18

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Data Index: 367183 (C4 (Web Text))

Max Activating Token Index: 656

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Text #19

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Data Index: 727620 (C4 (Web Text))

Max Activating Token Index: 161

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