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

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

Neuron 60 in Layer 9

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: 0.6596. Min Act: -0.0000

Data Index: 427482 (C4 (Web Text))

Max Activating Token Index: 938

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Text #1

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Max Act: 0.6454. Min Act: -0.0000

Data Index: 216594 (C4 (Web Text))

Max Activating Token Index: 653

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Text #2

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Data Index: 516900 (C4 (Web Text))

Max Activating Token Index: 958

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Text #3

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Data Index: 1123327 (C4 (Web Text))

Max Activating Token Index: 846

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Truncated

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Text #4

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Data Index: 1042121 (C4 (Web Text))

Max Activating Token Index: 605

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Text #5

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Data Index: 1129075 (C4 (Web Text))

Max Activating Token Index: 908

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Text #6

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Data Index: 1255792 (C4 (Web Text))

Max Activating Token Index: 167

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Text #7

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Data Index: 927353 (C4 (Web Text))

Max Activating Token Index: 844

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Truncated

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Text #8

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Data Index: 628384 (C4 (Web Text))

Max Activating Token Index: 807

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Text #9

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Data Index: 1194639 (C4 (Web Text))

Max Activating Token Index: 13

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Text #10

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Text #11

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Text #12

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Data Index: 539418 (C4 (Web Text))

Max Activating Token Index: 313

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Text #13

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Max Activating Token Index: 299

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Text #14

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Text #15

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Data Index: 482276 (C4 (Web Text))

Max Activating Token Index: 763

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Text #16

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Max Activating Token Index: 597

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Text #17

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Data Index: 708223 (C4 (Web Text))

Max Activating Token Index: 493

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Text #18

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Data Index: 1273665 (C4 (Web Text))

Max Activating Token Index: 280

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Text #19

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Data Index: 741633 (C4 (Web Text))

Max Activating Token Index: 684

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