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

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

Neuron 2734 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0343. Min Act: -0.0000

Data Index: 499330 (C4 (Web Text))

Max Activating Token Index: 224

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Text #1

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Max Act: 0.0220. Min Act: -0.0001

Data Index: 2441 (C4 (Web Text))

Max Activating Token Index: 314

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Text #2

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Max Act: 0.0261. Min Act: -0.0001

Data Index: 1581939 (Python Code)

Max Activating Token Index: 834

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Text #3

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Max Act: 0.0231. Min Act: -0.0000

Data Index: 278302 (C4 (Web Text))

Max Activating Token Index: 564

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Truncated

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Text #4

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Max Act: 0.0224. Min Act: -0.0001

Data Index: 655889 (C4 (Web Text))

Max Activating Token Index: 996

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Truncated

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Text #5

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Max Act: 0.0223. Min Act: -0.0001

Data Index: 818246 (C4 (Web Text))

Max Activating Token Index: 566

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Text #6

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Data Index: 852864 (C4 (Web Text))

Max Activating Token Index: 762

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Text #7

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Data Index: 978212 (C4 (Web Text))

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Text #8

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Data Index: 759018 (C4 (Web Text))

Max Activating Token Index: 993

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Text #9

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Data Index: 326703 (C4 (Web Text))

Max Activating Token Index: 291

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Text #10

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Data Index: 947838 (C4 (Web Text))

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Text #11

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Data Index: 1583996 (Python Code)

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Text #12

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Data Index: 377997 (C4 (Web Text))

Max Activating Token Index: 563

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Text #13

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Data Index: 585092 (C4 (Web Text))

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Text #14

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Data Index: 1553389 (Python Code)

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Text #15

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Data Index: 1192857 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 722321 (C4 (Web Text))

Max Activating Token Index: 990

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Text #18

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Max Act: 0.0195. Min Act: -0.0001

Data Index: 513679 (C4 (Web Text))

Max Activating Token Index: 464

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Truncated

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Text #19

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Data Index: 51378 (C4 (Web Text))

Max Activating Token Index: 114

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