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

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

Neuron 2954 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: 0.0460. Min Act: -0.0001

Data Index: 1002217 (C4 (Web Text))

Max Activating Token Index: 386

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Text #1

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Data Index: 242103 (C4 (Web Text))

Max Activating Token Index: 40

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Truncated

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Text #2

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Max Act: 0.0438. Min Act: -0.0001

Data Index: 701897 (C4 (Web Text))

Max Activating Token Index: 219

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Text #3

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Data Index: 1170868 (C4 (Web Text))

Max Activating Token Index: 159

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Truncated

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Text #4

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Data Index: 38226 (C4 (Web Text))

Max Activating Token Index: 243

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Truncated

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Text #5

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Data Index: 1240895 (C4 (Web Text))

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Text #6

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Data Index: 1199456 (C4 (Web Text))

Max Activating Token Index: 930

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 228377 (C4 (Web Text))

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Text #9

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Data Index: 1565107 (Python Code)

Max Activating Token Index: 520

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Text #10

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Data Index: 955691 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Data Index: 1551627 (Python Code)

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Text #14

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Data Index: 840884 (C4 (Web Text))

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Text #15

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Data Index: 1227995 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 453137 (C4 (Web Text))

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Text #18

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Data Index: 712113 (C4 (Web Text))

Max Activating Token Index: 52

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Text #19

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Data Index: 1093527 (C4 (Web Text))

Max Activating Token Index: 766

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