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

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

Neuron 4044 in Layer 2

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: 0.2145. Min Act: -0.0001

Data Index: 1274312 (C4 (Web Text))

Max Activating Token Index: 701

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Text #1

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Max Act: 0.1995. Min Act: -0.0001

Data Index: 76219 (C4 (Web Text))

Max Activating Token Index: 955

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Truncated

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Text #2

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Max Act: 0.2010. Min Act: -0.0002

Data Index: 623275 (C4 (Web Text))

Max Activating Token Index: 943

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Text #3

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Data Index: 729298 (C4 (Web Text))

Max Activating Token Index: 783

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Text #4

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Data Index: 33323 (C4 (Web Text))

Max Activating Token Index: 681

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Truncated

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Text #5

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Data Index: 192411 (C4 (Web Text))

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Text #6

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Data Index: 1131581 (C4 (Web Text))

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Text #7

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Data Index: 1318598 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 66919 (C4 (Web Text))

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Text #9

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Data Index: 849224 (C4 (Web Text))

Max Activating Token Index: 715

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Text #10

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Text #11

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Data Index: 12201 (C4 (Web Text))

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Text #12

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Data Index: 1457 (C4 (Web Text))

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Text #13

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Data Index: 2038 (C4 (Web Text))

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Text #14

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Data Index: 662581 (C4 (Web Text))

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Text #15

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Data Index: 716421 (C4 (Web Text))

Max Activating Token Index: 936

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Text #16

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Text #17

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Data Index: 1342646 (C4 (Web Text))

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Text #18

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Data Index: 959251 (C4 (Web Text))

Max Activating Token Index: 745

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Text #19

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Data Index: 1125100 (C4 (Web Text))

Max Activating Token Index: 442

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