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

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

Neuron 1072 in Layer 0

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

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Text #0

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0099. Min Act: -0.0001

Data Index: 181094 (C4 (Web Text))

Max Activating Token Index: 3

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Truncated

Full Text #0


Text #1

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0095. Min Act: -0.0001

Data Index: 567201 (C4 (Web Text))

Max Activating Token Index: 204

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Truncated

Full Text #1


Text #2

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0094. Min Act: -0.0001

Data Index: 1285802 (C4 (Web Text))

Max Activating Token Index: 711

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Truncated

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Text #3

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0092. Min Act: -0.0001

Data Index: 995898 (C4 (Web Text))

Max Activating Token Index: 37

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Truncated

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Text #4

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Max Act: 0.0091. Min Act: -0.0001

Data Index: 410482 (C4 (Web Text))

Max Activating Token Index: 179

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Truncated

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Text #5

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Max Act: 0.0091. Min Act: -0.0001

Data Index: 338850 (C4 (Web Text))

Max Activating Token Index: 225

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Truncated

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Text #6

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Max Act: 0.0091. Min Act: -0.0001

Data Index: 1286003 (C4 (Web Text))

Max Activating Token Index: 292

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Truncated

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Text #7

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Max Act: 0.0090. Min Act: -0.0001

Data Index: 885846 (C4 (Web Text))

Max Activating Token Index: 438

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Truncated

Full Text #7


Text #8

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0091. Min Act: -0.0001

Data Index: 1057451 (C4 (Web Text))

Max Activating Token Index: 799

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Truncated

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Text #9

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Max Act: 0.0090. Min Act: -0.0001

Data Index: 538966 (C4 (Web Text))

Max Activating Token Index: 813

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Truncated

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Text #10

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Max Act: 0.0089. Min Act: -0.0001

Data Index: 216855 (C4 (Web Text))

Max Activating Token Index: 129

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Truncated

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Text #11

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Max Act: 0.0089. Min Act: -0.0001

Data Index: 637472 (C4 (Web Text))

Max Activating Token Index: 63

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Truncated

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Text #12

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Max Act: 0.0088. Min Act: -0.0001

Data Index: 121013 (C4 (Web Text))

Max Activating Token Index: 7

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Truncated

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Text #13

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Max Act: 0.0089. Min Act: -0.0001

Data Index: 283107 (C4 (Web Text))

Max Activating Token Index: 366

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Truncated

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Text #14

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0089. Min Act: -0.0001

Data Index: 932905 (C4 (Web Text))

Max Activating Token Index: 34

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Truncated

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Text #15

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Max Act: 0.0088. Min Act: -0.0001

Data Index: 1093405 (C4 (Web Text))

Max Activating Token Index: 400

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Truncated

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Text #16

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0088. Min Act: -0.0001

Data Index: 1285982 (C4 (Web Text))

Max Activating Token Index: 77

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Truncated

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Text #17

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0087. Min Act: -0.0001

Data Index: 1416764 (Python Code)

Max Activating Token Index: 4

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Truncated

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Text #18

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0087. Min Act: -0.0001

Data Index: 229530 (C4 (Web Text))

Max Activating Token Index: 26

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Truncated

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Text #19

Max Range: 0.0099. Min Range: -0.0099

Max Act: 0.0089. Min Act: -0.0001

Data Index: 1092149 (C4 (Web Text))

Max Activating Token Index: 370

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Truncated

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