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

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

Neuron 9 in Layer 3

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: 0.6029. Min Act: -0.0001

Data Index: 764303 (C4 (Web Text))

Max Activating Token Index: 657

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Text #1

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Max Act: 0.5772. Min Act: -0.0001

Data Index: 721499 (C4 (Web Text))

Max Activating Token Index: 982

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Truncated

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Text #2

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Max Act: 0.5468. Min Act: -0.0001

Data Index: 528541 (C4 (Web Text))

Max Activating Token Index: 809

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Text #3

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Max Act: 0.5693. Min Act: -0.0001

Data Index: 424462 (C4 (Web Text))

Max Activating Token Index: 275

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Truncated

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Text #4

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Data Index: 478582 (C4 (Web Text))

Max Activating Token Index: 137

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Truncated

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Text #5

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Data Index: 667025 (C4 (Web Text))

Max Activating Token Index: 721

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Text #6

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Data Index: 30980 (C4 (Web Text))

Max Activating Token Index: 329

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Truncated

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Text #7

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Data Index: 1051047 (C4 (Web Text))

Max Activating Token Index: 719

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Truncated

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Text #8

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Data Index: 210517 (C4 (Web Text))

Max Activating Token Index: 462

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Text #9

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Data Index: 1175394 (C4 (Web Text))

Max Activating Token Index: 727

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Truncated

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Text #10

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Data Index: 553666 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 242657 (C4 (Web Text))

Max Activating Token Index: 709

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Text #13

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Data Index: 676597 (C4 (Web Text))

Max Activating Token Index: 961

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Truncated

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Text #14

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Data Index: 348351 (C4 (Web Text))

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Text #15

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Data Index: 613170 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 932263 (C4 (Web Text))

Max Activating Token Index: 134

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Text #18

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Max Act: 0.4695. Min Act: -0.0001

Data Index: 331826 (C4 (Web Text))

Max Activating Token Index: 147

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Text #19

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Data Index: 787944 (C4 (Web Text))

Max Activating Token Index: 624

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