🧠 RNN Activation Visualization

Probing trained model for event space discovery

Active neurons (mean > 0.5)
Suppressed neurons (mean < -0.5)
Query: prev=q
28 samples found

Top Active Neurons

h[103]: 1.000
h[34]: 1.000
h[48]: 0.999
h[109]: 0.998
h[0]: 0.996
h[19]: 0.980
h[113]: 0.963
h[45]: 0.889
h[10]: 0.879
h[2]: 0.863

Top Suppressed Neurons

h[25]: -1.000
h[23]: -1.000
h[32]: -1.000
h[6]: -0.999
h[91]: -0.998
Query: prev=0x20
100 samples found

Top Active Neurons

h[34]: 1.000
h[103]: 1.000
h[48]: 0.999
h[0]: 0.982
h[19]: 0.927
h[10]: 0.877
h[86]: 0.836
h[113]: 0.787
h[125]: 0.755
h[55]: 0.672

Top Suppressed Neurons

h[25]: -1.000
h[23]: -1.000
h[6]: -0.999
h[32]: -0.999
h[90]: -0.999
Query: prev=<
100 samples found

Top Active Neurons

h[34]: 0.997
h[48]: 0.996
h[103]: 0.993
h[0]: 0.978
h[19]: 0.908
h[10]: 0.841
h[113]: 0.819
h[125]: 0.722
h[2]: 0.707
h[55]: 0.667

Top Suppressed Neurons

h[6]: -0.996
h[90]: -0.995
h[91]: -0.994
h[25]: -0.993
h[23]: -0.993
Query: prev=e
100 samples found

Top Active Neurons

h[103]: 1.000
h[34]: 1.000
h[109]: 1.000
h[48]: 0.999
h[0]: 0.987
h[19]: 0.982
h[2]: 0.941
h[10]: 0.935
h[125]: 0.908
h[45]: 0.890

Top Suppressed Neurons

h[25]: -1.000
h[23]: -1.000
h[32]: -1.000
h[6]: -1.000
h[90]: -0.999
Query: prev=.
89 samples found

Top Active Neurons

h[103]: 1.000
h[34]: 1.000
h[48]: 0.999
h[109]: 0.999
h[0]: 0.984
h[19]: 0.977
h[45]: 0.944
h[10]: 0.916
h[113]: 0.873
h[125]: 0.872

Top Suppressed Neurons

h[25]: -1.000
h[23]: -1.000
h[32]: -1.000
h[6]: -0.999
h[90]: -0.999

Differential Analysis

Neurons that distinguish between contexts:

ContextUnique ActiveUnique Suppressed
prev=q h[2], h[45], h[109], h[113] h[32], h[91]
prev=0x20 h[55], h[86], h[113], h[125] h[32], h[90]
prev=< h[2], h[55], h[113], h[125] h[90], h[91]
prev=e h[2], h[45], h[109], h[125] h[32], h[90]
prev=. h[45], h[109], h[113], h[125] h[32], h[90]

Common active neurons (all contexts): h[0], h[10], h[19], h[34], h[48], h[103]

Common suppressed neurons (all contexts): h[6], h[23], h[25]