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

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

Neuron 4040 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: 0.1769. Min Act: -0.0001

Data Index: 486401 (C4 (Web Text))

Max Activating Token Index: 14

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Truncated

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Text #1

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Max Act: 0.1675. Min Act: -0.0001

Data Index: 240118 (C4 (Web Text))

Max Activating Token Index: 20

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Truncated

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Text #2

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Max Act: 0.1726. Min Act: -0.0001

Data Index: 926248 (C4 (Web Text))

Max Activating Token Index: 403

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Text #3

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Data Index: 679113 (C4 (Web Text))

Max Activating Token Index: 757

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Truncated

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Text #4

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Data Index: 541488 (C4 (Web Text))

Max Activating Token Index: 947

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Truncated

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Text #5

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Data Index: 427281 (C4 (Web Text))

Max Activating Token Index: 674

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Text #6

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Data Index: 678940 (C4 (Web Text))

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Text #7

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Data Index: 812246 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 131736 (C4 (Web Text))

Max Activating Token Index: 676

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Text #9

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Data Index: 584941 (C4 (Web Text))

Max Activating Token Index: 554

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Text #10

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Data Index: 27243 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 259617 (C4 (Web Text))

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Text #13

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Data Index: 912205 (C4 (Web Text))

Max Activating Token Index: 746

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 31794 (C4 (Web Text))

Max Activating Token Index: 559

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Text #19

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Data Index: 748999 (C4 (Web Text))

Max Activating Token Index: 1021

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