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

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

Neuron 4025 in Layer 6

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: 0.9110. Min Act: -0.0001

Data Index: 720488 (C4 (Web Text))

Max Activating Token Index: 96

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Truncated

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Text #1

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Data Index: 1142415 (C4 (Web Text))

Max Activating Token Index: 453

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Truncated

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Text #2

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Data Index: 673742 (C4 (Web Text))

Max Activating Token Index: 882

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Truncated

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Text #3

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Max Activating Token Index: 873

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Truncated

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Text #4

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Data Index: 1044349 (C4 (Web Text))

Max Activating Token Index: 991

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Truncated

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Text #5

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Data Index: 1155889 (C4 (Web Text))

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Truncated

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Text #6

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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: 273701 (C4 (Web Text))

Max Activating Token Index: 171

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Truncated

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Text #9

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Data Index: 326057 (C4 (Web Text))

Max Activating Token Index: 57

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Truncated

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Text #10

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Data Index: 1257532 (C4 (Web Text))

Max Activating Token Index: 685

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Truncated

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Text #11

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Max Activating Token Index: 699

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Truncated

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Text #12

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Max Activating Token Index: 773

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Text #13

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Data Index: 355385 (C4 (Web Text))

Max Activating Token Index: 907

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Truncated

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Text #14

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Text #15

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Text #16

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Max Activating Token Index: 151

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Truncated

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Text #17

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Data Index: 47273 (C4 (Web Text))

Max Activating Token Index: 958

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Text #18

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Data Index: 28821 (C4 (Web Text))

Max Activating Token Index: 990

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Text #19

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Data Index: 1118096 (C4 (Web Text))

Max Activating Token Index: 547

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