Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 0 in Layer 7
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Max Act: 0.0076. Min Act: -0.0000
Data Index: 824040 (C4 (Web Text))
Max Activating Token Index: 54
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Full Text #0
Text #1
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Max Act: 0.0070. Min Act: -0.0000
Data Index: 222744 (C4 (Web Text))
Max Activating Token Index: 93
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Full Text #1
Text #2
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Data Index: 1011693 (C4 (Web Text))
Max Activating Token Index: 310
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Text #3
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Max Act: 0.0063. Min Act: -0.0000
Data Index: 279992 (C4 (Web Text))
Max Activating Token Index: 450
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Text #4
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Max Act: 0.0064. Min Act: -0.0000
Data Index: 1357653 (C4 (Web Text))
Max Activating Token Index: 581
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Text #5
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Data Index: 330749 (C4 (Web Text))
Max Activating Token Index: 398
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Text #6
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Data Index: 13340 (C4 (Web Text))
Max Activating Token Index: 144
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Text #7
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Data Index: 1120043 (C4 (Web Text))
Max Activating Token Index: 404
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Full Text #7
Text #8
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Data Index: 1202675 (C4 (Web Text))
Max Activating Token Index: 180
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Text #9
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Data Index: 1055781 (C4 (Web Text))
Max Activating Token Index: 663
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Text #10
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Data Index: 512366 (C4 (Web Text))
Max Activating Token Index: 435
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Text #11
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Data Index: 684090 (C4 (Web Text))
Max Activating Token Index: 940
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Text #12
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Data Index: 168181 (C4 (Web Text))
Max Activating Token Index: 62
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Text #13
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Data Index: 1058791 (C4 (Web Text))
Max Activating Token Index: 372
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Text #14
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Data Index: 203389 (C4 (Web Text))
Max Activating Token Index: 367
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Text #15
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Data Index: 1146681 (C4 (Web Text))
Max Activating Token Index: 182
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Text #16
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Max Act: 0.0055. Min Act: -0.0000
Data Index: 1227766 (C4 (Web Text))
Max Activating Token Index: 263
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Text #17
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Max Act: 0.0053. Min Act: -0.0000
Data Index: 1098836 (C4 (Web Text))
Max Activating Token Index: 192
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Text #18
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Max Act: 0.0055. Min Act: -0.0000
Data Index: 639112 (C4 (Web Text))
Max Activating Token Index: 230
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Text #19
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Max Act: 0.0053. Min Act: -0.0000
Data Index: 1212245 (C4 (Web Text))
Max Activating Token Index: 696
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