Find this model in the OpenAI model summary
id | layer_type | N | M | Q | alpha | D | alpha-hat | num_spikes | warning |
---|---|---|---|---|---|---|---|---|---|
1 | dense | 4096 | 2880 | 1.422222 | 2.208469 | 0.012764 | 4.321921 | 571 | |
2 | dense | 2880 | 512 | 5.625000 | 3.472631 | 0.065679 | 8.765082 | 93 | |
3 | dense | 2880 | 512 | 5.625000 | 3.269970 | 0.083865 | 4.979458 | 200 | |
4 | dense | 4096 | 2880 | 1.422222 | 5.553284 | 0.041825 | 11.105858 | 55 | |
5 | dense | 2880 | 128 | 22.500000 | 3.852214 | 0.038861 | 3.783559 | 46 | |
6 | dense | 2880 | 512 | 5.625000 | 2.645160 | 0.062126 | 5.975363 | 79 | |
7 | dense | 4096 | 2880 | 1.422222 | 3.175964 | 0.050770 | 5.504852 | 87 | |
8 | dense | 4096 | 2880 | 1.422222 | 2.045456 | 0.023390 | 5.043705 | 475 | |
9 | dense | 2880 | 512 | 5.625000 | 5.160952 | 0.076134 | 6.076600 | 81 | |
10 | dense | 2880 | 128 | 22.500000 | 3.373129 | 0.037766 | 2.329203 | 50 | |
11 | dense | 2880 | 512 | 5.625000 | 7.144880 | 0.052377 | 8.386267 | 41 | under-trained |
12 | dense | 2880 | 512 | 5.625000 | 3.279578 | 0.037811 | 4.758593 | 37 | |
13 | dense | 4096 | 2880 | 1.422222 | 3.170620 | 0.046415 | 4.986395 | 117 | |
14 | dense | 4096 | 2880 | 1.422222 | 2.092214 | 0.020858 | 5.653739 | 573 | |
15 | dense | 2880 | 128 | 22.500000 | 3.084761 | 0.032720 | 1.762433 | 55 | |
16 | dense | 4096 | 2880 | 1.422222 | 3.254060 | 0.032990 | 10.640579 | 38 | |
17 | dense | 2880 | 512 | 5.625000 | 3.237801 | 0.067844 | 3.898329 | 219 | |
18 | dense | 4096 | 2880 | 1.422222 | 2.464871 | 0.049778 | 3.959622 | 241 | |
19 | dense | 2880 | 512 | 5.625000 | 2.944561 | 0.043867 | 5.654103 | 32 | |
20 | dense | 2880 | 128 | 22.500000 | 3.148655 | 0.041372 | 1.872311 | 58 | |
21 | dense | 2880 | 128 | 22.500000 | 3.241244 | 0.037749 | 1.934718 | 47 | |
22 | dense | 2880 | 512 | 5.625000 | 3.763706 | 0.091890 | 4.242364 | 205 | |
23 | dense | 2880 | 512 | 5.625000 | 3.228186 | 0.036520 | 4.661916 | 58 | |
24 | dense | 4096 | 2880 | 1.422222 | 3.196315 | 0.044045 | 4.390031 | 155 | |
25 | dense | 4096 | 2880 | 1.422222 | 3.044016 | 0.032111 | 9.067866 | 47 | |
26 | dense | 4096 | 2880 | 1.422222 | 3.108985 | 0.032759 | 10.015843 | 55 | |
27 | dense | 2880 | 512 | 5.625000 | 3.744358 | 0.046973 | 5.538288 | 19 | |
28 | dense | 4096 | 2880 | 1.422222 | 3.436349 | 0.041209 | 6.492551 | 42 | |
29 | dense | 2880 | 128 | 22.500000 | 3.456888 | 0.039824 | 1.954955 | 47 | |
30 | dense | 2880 | 512 | 5.625000 | 12.373127 | 0.105708 | 12.324962 | 31 | under-trained |
31 | dense | 4096 | 2880 | 1.422222 | 2.526757 | 0.019100 | 7.735397 | 145 | |
32 | dense | 4096 | 2880 | 1.422222 | 4.075093 | 0.038599 | 5.472925 | 62 | |
33 | dense | 2880 | 512 | 5.625000 | 2.794283 | 0.054154 | 3.885393 | 102 | |
34 | dense | 2880 | 512 | 5.625000 | 9.795358 | 0.056763 | 10.642065 | 36 | under-trained |
35 | dense | 2880 | 128 | 22.500000 | 3.265615 | 0.038312 | 1.891294 | 39 | |
36 | dense | 2880 | 512 | 5.625000 | 5.385046 | 0.070512 | 6.404582 | 61 | |
37 | dense | 4096 | 2880 | 1.422222 | 3.156772 | 0.027263 | 4.948909 | 102 | |
38 | dense | 2880 | 128 | 22.500000 | 2.735562 | 0.045712 | 1.564596 | 50 | |
39 | dense | 2880 | 512 | 5.625000 | 2.842376 | 0.089045 | 4.210396 | 87 | |
40 | dense | 4096 | 2880 | 1.422222 | 2.380051 | 0.018818 | 7.760562 | 176 | |
41 | dense | 4096 | 2880 | 1.422222 | 2.645166 | 0.014982 | 8.790014 | 236 | |
42 | dense | 4096 | 2880 | 1.422222 | 3.229234 | 0.056745 | 4.313408 | 97 | |
43 | dense | 2880 | 512 | 5.625000 | 3.760304 | 0.023834 | 4.505846 | 42 | |
44 | dense | 2880 | 128 | 22.500000 | 2.613116 | 0.038740 | 1.341844 | 46 | |
45 | dense | 2880 | 512 | 5.625000 | 9.847806 | 0.047890 | 11.940559 | 44 | under-trained |
46 | dense | 4096 | 2880 | 1.422222 | 2.849062 | 0.014680 | 11.301986 | 206 | |
47 | dense | 2880 | 512 | 5.625000 | 1.883901 | 0.043648 | 3.150082 | 163 | over-trained |
48 | dense | 4096 | 2880 | 1.422222 | 2.797735 | 0.045072 | 4.090750 | 129 | |
49 | dense | 2880 | 128 | 22.500000 | 2.596757 | 0.046623 | 1.003669 | 52 | |
50 | dense | 2880 | 512 | 5.625000 | 2.925060 | 0.054998 | 4.073273 | 220 | |
51 | dense | 2880 | 512 | 5.625000 | 4.764659 | 0.045677 | 6.450162 | 134 | |
52 | dense | 2880 | 128 | 22.500000 | 2.408473 | 0.031262 | 0.925361 | 60 | |
53 | dense | 2880 | 512 | 5.625000 | 2.485813 | 0.024541 | 3.491191 | 60 | |
54 | dense | 4096 | 2880 | 1.422222 | 2.739747 | 0.020324 | 10.217447 | 329 | |
55 | dense | 4096 | 2880 | 1.422222 | 2.781694 | 0.042916 | 3.566225 | 155 | |
56 | dense | 4096 | 2880 | 1.422222 | 3.172356 | 0.024286 | 12.566761 | 139 | |
57 | dense | 4096 | 2880 | 1.422222 | 2.334839 | 0.039938 | 3.818264 | 205 | |
58 | dense | 2880 | 128 | 22.500000 | 2.411270 | 0.034860 | 1.021684 | 53 | |
59 | dense | 2880 | 512 | 5.625000 | 17.726207 | 0.111209 | 24.206874 | 35 | under-trained |
60 | dense | 2880 | 512 | 5.625000 | 2.014822 | 0.062062 | 3.258083 | 68 | |
61 | dense | 4096 | 2880 | 1.422222 | 3.233591 | 0.019563 | 12.232655 | 132 | |
62 | dense | 2880 | 512 | 5.625000 | 4.570913 | 0.085681 | 6.722337 | 135 | |
63 | dense | 2880 | 512 | 5.625000 | 2.894662 | 0.041843 | 1.690166 | 35 | |
64 | dense | 4096 | 2880 | 1.422222 | 2.807132 | 0.039251 | 4.039771 | 112 | |
65 | dense | 2880 | 128 | 22.500000 | 2.358074 | 0.033051 | 0.842026 | 57 | |
66 | dense | 4096 | 2880 | 1.422222 | 2.489314 | 0.045615 | 4.355668 | 115 | |
67 | dense | 2880 | 512 | 5.625000 | 4.005401 | 0.106053 | 5.826358 | 149 | |
68 | dense | 2880 | 512 | 5.625000 | 2.004800 | 0.053028 | 3.636198 | 49 | |
69 | dense | 2880 | 128 | 22.500000 | 2.334667 | 0.041312 | 0.553002 | 51 | |
70 | dense | 4096 | 2880 | 1.422222 | 3.494062 | 0.023007 | 14.573604 | 129 | |
71 | dense | 4096 | 2880 | 1.422222 | 3.610729 | 0.035367 | 13.019531 | 69 | |
72 | dense | 4096 | 2880 | 1.422222 | 2.481507 | 0.038454 | 4.310733 | 277 | |
73 | dense | 2880 | 128 | 22.500000 | 2.252607 | 0.045581 | 0.364231 | 62 | |
74 | dense | 2880 | 512 | 5.625000 | 1.870277 | 0.061759 | 2.481666 | 33 | over-trained |
75 | dense | 2880 | 512 | 5.625000 | 2.941862 | 0.065377 | 4.972544 | 227 | |
76 | dense | 4096 | 2880 | 1.422222 | 3.109918 | 0.072122 | 13.440607 | 281 | |
77 | dense | 2880 | 512 | 5.625000 | 5.664013 | 0.093290 | 8.252137 | 76 | |
78 | dense | 2880 | 128 | 22.500000 | 2.276654 | 0.034881 | 0.439930 | 58 | |
79 | dense | 4096 | 2880 | 1.422222 | 2.321264 | 0.046096 | 3.795860 | 217 | |
80 | dense | 2880 | 512 | 5.625000 | 1.694113 | 0.084582 | 2.741511 | 148 | over-trained |
81 | dense | 2880 | 512 | 5.625000 | 2.134803 | 0.031990 | 2.181559 | 79 | |
82 | dense | 2880 | 128 | 22.500000 | 2.306871 | 0.038158 | 0.259992 | 61 | |
83 | dense | 4096 | 2880 | 1.422222 | 3.827929 | 0.055312 | 14.843723 | 113 | |
84 | dense | 4096 | 2880 | 1.422222 | 2.587669 | 0.029204 | 4.024792 | 137 | |
85 | dense | 2880 | 512 | 5.625000 | 3.808527 | 0.059146 | 6.231956 | 213 | |
86 | dense | 4096 | 2880 | 1.422222 | 2.292899 | 0.031649 | 3.880986 | 198 | |
87 | dense | 2880 | 512 | 5.625000 | 4.309792 | 0.107894 | 6.597479 | 129 | |
88 | dense | 2880 | 512 | 5.625000 | 1.340080 | 0.074254 | 2.660212 | 266 | over-trained |
89 | dense | 4096 | 2880 | 1.422222 | 2.926646 | 0.041338 | 13.717326 | 232 | |
90 | dense | 2880 | 128 | 22.500000 | 2.436084 | 0.039443 | 0.330406 | 51 | |
91 | dense | 2880 | 512 | 5.625000 | 1.967432 | 0.022988 | 2.488288 | 182 | over-trained |
92 | dense | 4096 | 2880 | 1.422222 | 3.988188 | 0.076939 | 16.321480 | 133 | |
93 | dense | 2880 | 512 | 5.625000 | 3.510953 | 0.040514 | 7.502812 | 128 | |
94 | dense | 2880 | 128 | 22.500000 | 2.331693 | 0.036395 | 0.249339 | 57 | |
95 | dense | 4096 | 2880 | 1.422222 | 2.483042 | 0.028246 | 4.269229 | 172 | |
96 | dense | 4096 | 2880 | 1.422222 | 3.135838 | 0.040728 | 15.635954 | 268 | |
97 | dense | 2880 | 512 | 5.625000 | 1.236920 | 0.108677 | 3.024176 | 382 | over-trained |
98 | dense | 2880 | 128 | 22.500000 | 2.426283 | 0.033791 | 0.204888 | 43 | |
99 | dense | 4096 | 2880 | 1.422222 | 2.642628 | 0.042648 | 4.618855 | 61 | |
100 | dense | 2880 | 512 | 5.625000 | 2.918114 | 0.049294 | 7.241564 | 245 | |
101 | dense | 2880 | 128 | 22.500000 | 2.545452 | 0.037564 | 0.063275 | 53 | |
102 | dense | 2880 | 512 | 5.625000 | 1.814614 | 0.038576 | 2.657049 | 139 | over-trained |
103 | dense | 4096 | 2880 | 1.422222 | 2.125475 | 0.053168 | 3.075680 | 416 | |
104 | dense | 2880 | 512 | 5.625000 | 2.697242 | 0.047467 | 7.617617 | 294 | |
105 | dense | 4096 | 2880 | 1.422222 | 2.992130 | 0.085815 | 13.756604 | 396 | |
106 | dense | 2880 | 512 | 5.625000 | 2.883635 | 0.020175 | 6.854456 | 201 | |
107 | dense | 2880 | 128 | 22.500000 | 2.866494 | 0.037087 | 0.208354 | 48 | |
108 | dense | 4096 | 2880 | 1.422222 | 2.532174 | 0.023105 | 13.465440 | 399 | |
109 | dense | 4096 | 2880 | 1.422222 | 2.122508 | 0.030785 | 3.689537 | 351 | |
110 | dense | 2880 | 512 | 5.625000 | 2.484014 | 0.069946 | 6.616925 | 25 | |
111 | dense | 4096 | 2880 | 1.422222 | 3.368990 | 0.032658 | 16.133272 | 179 | |
112 | dense | 2880 | 128 | 22.500000 | 3.087381 | 0.042853 | 0.218905 | 39 | |
113 | dense | 2880 | 512 | 5.625000 | 2.143398 | 0.030824 | 2.279270 | 41 | |
114 | dense | 4096 | 2880 | 1.422222 | 2.311490 | 0.039692 | 4.496668 | 233 | |
115 | dense | 2880 | 512 | 5.625000 | 2.662200 | 0.030442 | 7.436658 | 76 | |
116 | dense | 2880 | 512 | 5.625000 | 3.683417 | 0.057791 | 7.629082 | 79 | |
117 | dense | 4096 | 2880 | 1.422222 | 2.173600 | 0.041741 | 3.583650 | 329 | |
118 | dense | 2880 | 128 | 22.500000 | 3.369590 | 0.051162 | 0.239795 | 26 | |
119 | dense | 4096 | 2880 | 1.422222 | 2.879379 | 0.031102 | 15.316405 | 343 | |
120 | dense | 2880 | 512 | 5.625000 | 1.613783 | 0.072539 | 3.469254 | 155 | over-trained |
121 | dense | 2880 | 128 | 22.500000 | 3.518675 | 0.044204 | -0.210370 | 30 | |
122 | dense | 2880 | 512 | 5.625000 | 2.509762 | 0.026340 | 0.615255 | 119 | |
123 | dense | 4096 | 2880 | 1.422222 | 2.830377 | 0.034624 | 14.718370 | 275 | |
124 | dense | 4096 | 2880 | 1.422222 | 3.256459 | 0.040774 | 6.883906 | 29 | |
125 | dense | 2880 | 512 | 5.625000 | 5.711049 | 0.048416 | 10.157567 | 64 | |
126 | dense | 2880 | 512 | 5.625000 | 2.324256 | 0.064240 | 5.357340 | 220 | |
127 | dense | 4096 | 2880 | 1.422222 | 2.968097 | 0.083546 | 16.346735 | 459 | |
128 | dense | 4096 | 2880 | 1.422222 | 2.315388 | 0.031141 | 3.973542 | 232 | |
129 | dense | 2880 | 128 | 22.500000 | 3.616528 | 0.059002 | 0.137758 | 35 | |
130 | dense | 2880 | 512 | 5.625000 | 1.388835 | 0.072804 | 3.257407 | 282 | over-trained |
131 | dense | 4096 | 2880 | 1.422222 | 3.766056 | 0.017121 | 18.802509 | 213 | |
132 | dense | 2880 | 128 | 22.500000 | 3.442542 | 0.035075 | 0.138813 | 38 | |
133 | dense | 2880 | 512 | 5.625000 | 4.483635 | 0.093100 | 8.235314 | 205 | |
134 | dense | 2880 | 512 | 5.625000 | 2.436476 | 0.045751 | -0.239513 | 100 | |
135 | dense | 4096 | 2880 | 1.422222 | 2.487972 | 0.041338 | 5.256039 | 225 | |
136 | dense | 2880 | 512 | 5.625000 | 2.165771 | 0.082463 | 4.593466 | 292 | |
137 | dense | 2880 | 512 | 5.625000 | 1.576554 | 0.034587 | 2.678060 | 191 | over-trained |
138 | dense | 4096 | 2880 | 1.422222 | 2.114761 | 0.040321 | 3.577608 | 500 | |
139 | dense | 4096 | 2880 | 1.422222 | 5.016062 | 0.050016 | 27.858958 | 173 | |
140 | dense | 2880 | 128 | 22.500000 | 3.614442 | 0.039833 | 0.491034 | 33 | |
141 | dense | 4096 | 2880 | 1.422222 | 3.498729 | 0.032285 | 18.983121 | 148 | |
142 | dense | 2880 | 512 | 5.625000 | 3.417551 | 0.035932 | 7.025308 | 200 | |
143 | dense | 4096 | 2880 | 1.422222 | 2.819032 | 0.030818 | 5.451648 | 122 | |
144 | dense | 2880 | 512 | 5.625000 | 2.788916 | 0.031368 | -0.057381 | 63 | |
145 | dense | 2880 | 128 | 22.500000 | 3.838345 | 0.045362 | 0.190672 | 27 | |
146 | dense | 4096 | 2880 | 1.422222 | 5.714257 | 0.080708 | 31.890082 | 177 | |
147 | dense | 2880 | 128 | 22.500000 | 3.933552 | 0.056198 | 0.698021 | 22 | |
148 | dense | 2880 | 512 | 5.625000 | 1.806956 | 0.062571 | 4.425388 | 367 | over-trained |
149 | dense | 4096 | 2880 | 1.422222 | 1.957556 | 0.024243 | 3.788884 | 553 | over-trained |
150 | dense | 2880 | 512 | 5.625000 | 1.461017 | 0.047780 | 2.718899 | 200 | over-trained |
151 | dense | 2880 | 512 | 5.625000 | 2.640404 | 0.038308 | 2.630096 | 69 | |
152 | dense | 2880 | 512 | 5.625000 | 4.585972 | 0.022900 | 9.789456 | 125 | |
153 | dense | 4096 | 2880 | 1.422222 | 4.414175 | 0.026949 | 22.760216 | 196 | |
154 | dense | 2880 | 128 | 22.500000 | 3.565906 | 0.045476 | 0.460714 | 33 | |
155 | dense | 4096 | 2880 | 1.422222 | 2.328391 | 0.043005 | 5.133580 | 280 | |
156 | dense | 2880 | 128 | 22.500000 | 3.918509 | 0.050094 | 0.505303 | 23 | |
157 | dense | 2880 | 512 | 5.625000 | 1.470758 | 0.060527 | 2.213420 | 223 | over-trained |
158 | dense | 2880 | 512 | 5.625000 | 2.892210 | 0.058664 | 7.116892 | 316 | |
159 | dense | 4096 | 2880 | 1.422222 | 1.829911 | 0.116658 | 10.043039 | 1077 | over-trained |
160 | dense | 4096 | 2880 | 1.422222 | 1.990689 | 0.030991 | 3.734381 | 533 | over-trained |
161 | dense | 2880 | 128 | 22.500000 | 3.894220 | 0.030175 | 0.363120 | 32 | |
162 | dense | 2880 | 512 | 5.625000 | 5.890095 | 0.028133 | 12.039012 | 75 | |
163 | dense | 2880 | 512 | 5.625000 | 2.993145 | 0.025516 | -0.924741 | 57 | |
164 | dense | 4096 | 2880 | 1.422222 | 2.559268 | 0.034801 | 5.722252 | 136 | |
165 | dense | 4096 | 2880 | 1.422222 | 4.489798 | 0.041447 | 23.385952 | 167 | |
166 | dense | 4096 | 2880 | 1.422222 | 4.785425 | 0.081182 | 27.544275 | 141 | |
167 | dense | 2880 | 512 | 5.625000 | 2.613914 | 0.060290 | 2.031349 | 26 | |
168 | dense | 4096 | 2880 | 1.422222 | 1.993876 | 0.031229 | 4.207472 | 594 | over-trained |
169 | dense | 2880 | 128 | 22.500000 | 3.040466 | 0.029907 | 0.236922 | 47 | |
170 | dense | 2880 | 512 | 5.625000 | 4.707666 | 0.082566 | 12.012274 | 176 | |
171 | dense | 2880 | 128 | 22.500000 | 2.820777 | 0.047052 | 0.012583 | 43 | |
172 | dense | 4096 | 2880 | 1.422222 | 4.240654 | 0.028765 | 23.181634 | 203 | |
173 | dense | 2880 | 512 | 5.625000 | 2.122419 | 0.029837 | -0.082330 | 113 | |
174 | dense | 2880 | 512 | 5.625000 | 5.030785 | 0.106522 | 10.108551 | 239 | |
175 | dense | 4096 | 2880 | 1.422222 | 2.535780 | 0.019578 | 5.508312 | 109 | |
176 | dense | 4096 | 2880 | 1.422222 | 2.513204 | 0.079145 | 14.295196 | 17 | |
177 | dense | 2880 | 128 | 22.500000 | 2.302707 | 0.028471 | 0.542856 | 53 | |
178 | dense | 2880 | 512 | 5.625000 | 4.940892 | 0.100657 | 11.684000 | 109 | |
179 | dense | 2880 | 512 | 5.625000 | 1.874893 | 0.027702 | 2.318483 | 123 | over-trained |
180 | dense | 4096 | 2880 | 1.422222 | 2.121072 | 0.024997 | 4.195084 | 597 |