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

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

Neuron 2111 in Layer 8

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: 0.9831. Min Act: -0.0000

Data Index: 36040 (C4 (Web Text))

Max Activating Token Index: 253

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Text #1

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Max Act: 0.9046. Min Act: -0.0000

Data Index: 180159 (C4 (Web Text))

Max Activating Token Index: 500

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Text #2

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Max Act: 0.8385. Min Act: -0.0000

Data Index: 1358823 (C4 (Web Text))

Max Activating Token Index: 980

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Text #3

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Data Index: 318164 (C4 (Web Text))

Max Activating Token Index: 982

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Truncated

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Text #4

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Data Index: 563655 (C4 (Web Text))

Max Activating Token Index: 64

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Truncated

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Text #5

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Data Index: 649254 (C4 (Web Text))

Max Activating Token Index: 642

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Text #6

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Data Index: 1513034 (Python Code)

Max Activating Token Index: 915

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Text #7

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Max Activating Token Index: 742

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Truncated

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Text #8

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Data Index: 796572 (C4 (Web Text))

Max Activating Token Index: 894

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Text #9

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Data Index: 1154925 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #10

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Max Activating Token Index: 837

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Text #11

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Text #12

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Data Index: 1174068 (C4 (Web Text))

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Text #13

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Data Index: 477205 (C4 (Web Text))

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Truncated

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Text #14

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Text #15

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Data Index: 671771 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 181270 (C4 (Web Text))

Max Activating Token Index: 947

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Text #19

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Data Index: 19917 (C4 (Web Text))

Max Activating Token Index: 275

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