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

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

Neuron 413 in Layer 0

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

Text #0

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 1573658 (Python Code)

Max Activating Token Index: 962

Text #1

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Max Act: 0.0173. Min Act: -0.0004

Data Index: 1368365 (Python Code)

Max Activating Token Index: 16

Text #2

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Max Act: 0.0172. Min Act: -0.0003

Data Index: 1633909 (Python Code)

Max Activating Token Index: 286

Text #3

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 1646519 (Python Code)

Max Activating Token Index: 282

Text #4

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Max Act: 0.0136. Min Act: -0.0003

Data Index: 1577842 (Python Code)

Max Activating Token Index: 372

Text #5

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Max Act: 0.0119. Min Act: -0.0003

Data Index: 1562161 (Python Code)

Max Activating Token Index: 208

Text #6

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Data Index: 1446429 (Python Code)

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Text #7

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Data Index: 1493498 (Python Code)

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Text #8

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Data Index: 1500971 (Python Code)

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Text #9

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Max Act: 0.0107. Min Act: -0.0003

Data Index: 1461558 (Python Code)

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Text #10

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Data Index: 1422686 (Python Code)

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Text #11

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Data Index: 1640075 (Python Code)

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Text #12

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Data Index: 1477514 (Python Code)

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Text #13

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Data Index: 1459104 (Python Code)

Max Activating Token Index: 93

Text #14

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Data Index: 1617337 (Python Code)

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Text #15

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Data Index: 1449080 (Python Code)

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Text #16

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Data Index: 1512370 (Python Code)

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Text #17

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Data Index: 1623954 (Python Code)

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Text #18

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Data Index: 1623422 (Python Code)

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Text #19

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 1642045 (Python Code)

Max Activating Token Index: 1022