Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1340 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 1651262 (Python Code)

Max Activating Token Index: 40

Text #1

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1418126 (Python Code)

Max Activating Token Index: 533

Text #2

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 1379044 (Python Code)

Max Activating Token Index: 504

Text #3

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 1488070 (Python Code)

Max Activating Token Index: 177

Text #4

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 1558619 (Python Code)

Max Activating Token Index: 776

Text #5

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Data Index: 1533995 (Python Code)

Max Activating Token Index: 91

Text #6

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Data Index: 1645131 (Python Code)

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Text #7

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Data Index: 1388516 (Python Code)

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Text #8

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Data Index: 1428001 (Python Code)

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Text #9

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Data Index: 1519661 (Python Code)

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Data Index: 1547722 (Python Code)

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Text #12

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Data Index: 1570799 (Python Code)

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Text #13

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Data Index: 1611955 (Python Code)

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Text #14

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Data Index: 1548250 (Python Code)

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Text #15

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Data Index: 1370195 (Python Code)

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 321

Text #19

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Data Index: 1541362 (Python Code)

Max Activating Token Index: 33