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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3503 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

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Max Act: 0.0339. Min Act: -0.0003

Data Index: 580585 (C4 (Web Text))

Max Activating Token Index: 134

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Text #1

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Max Act: 0.0340. Min Act: -0.0002

Data Index: 1031753 (C4 (Web Text))

Max Activating Token Index: 365

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Text #2

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 407987 (C4 (Web Text))

Max Activating Token Index: 207

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Text #3

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 857173 (C4 (Web Text))

Max Activating Token Index: 635

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Text #4

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Data Index: 1441446 (Python Code)

Max Activating Token Index: 4

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Text #5

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 759863 (C4 (Web Text))

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Text #6

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Data Index: 559757 (C4 (Web Text))

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Text #7

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Data Index: 127253 (C4 (Web Text))

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Text #8

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1138415 (C4 (Web Text))

Max Activating Token Index: 456

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Text #9

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Data Index: 113018 (C4 (Web Text))

Max Activating Token Index: 56

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Text #10

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Data Index: 447818 (C4 (Web Text))

Max Activating Token Index: 893

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Text #11

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Data Index: 281455 (C4 (Web Text))

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Text #12

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Data Index: 1339301 (C4 (Web Text))

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Text #13

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Data Index: 866596 (C4 (Web Text))

Max Activating Token Index: 795

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Text #14

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Data Index: 63504 (C4 (Web Text))

Max Activating Token Index: 141

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Text #15

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Data Index: 624593 (C4 (Web Text))

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Text #16

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Data Index: 621617 (C4 (Web Text))

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Text #17

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Data Index: 203234 (C4 (Web Text))

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Text #18

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Data Index: 1368544 (Python Code)

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Text #19

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Data Index: 765106 (C4 (Web Text))

Max Activating Token Index: 324

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