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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3020 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.4080. Min Act: -0.0003

Data Index: 1163931 (C4 (Web Text))

Max Activating Token Index: 773

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Text #1

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Data Index: 367918 (C4 (Web Text))

Max Activating Token Index: 897

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Text #2

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Data Index: 1153771 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #3

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Data Index: 346113 (C4 (Web Text))

Max Activating Token Index: 197

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Text #4

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Max Act: 0.4212. Min Act: -0.0003

Data Index: 1192484 (C4 (Web Text))

Max Activating Token Index: 175

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Text #5

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Data Index: 812832 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 343187 (C4 (Web Text))

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Text #9

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Data Index: 404366 (C4 (Web Text))

Max Activating Token Index: 201

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Text #10

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Truncated

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Text #11

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Text #12

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Text #13

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Data Index: 586163 (C4 (Web Text))

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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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Data Index: 383970 (C4 (Web Text))

Max Activating Token Index: 957

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Text #18

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Data Index: 1271204 (C4 (Web Text))

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Text #19

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Data Index: 338896 (C4 (Web Text))

Max Activating Token Index: 755

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