Add files using upload-large-folder tool

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 671, "1": 2, "2": 110, "3": 0}, "net_accuracy": 0.24151758173966686}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 644, "1": 158, "2": 0, "3": 0}, "net_accuracy": 0.2473781616286243}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 565, "1": 12, "2": 197, "3": 0}, "net_accuracy": 0.23874151758173967}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 21, "1": 808, "2": 0, "3": 38}, "net_accuracy": 0.26742751388032077}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 17, "1": 1, "2": 3, "3": 794}, "net_accuracy": 0.2513880320789636}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 662, "1": 1, "2": 26, "3": 92}, "net_accuracy": 0.24090067859346082}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 1, "1": 24, "2": 2, "3": 780}, "net_accuracy": 0.24892041949413943}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 54, "1": 4, "2": 693, "3": 29}, "net_accuracy": 0.2405922270203578}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 227, "2": 15, "3": 575}, "net_accuracy": 0.25200493522516965}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 17, "2": 771, "3": 2}, "net_accuracy": 0.24367674275138804}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 0, "2": 93, "3": 737}, "net_accuracy": 0.25601480567550894}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 47, "1": 12, "2": 735, "3": 0}, "net_accuracy": 0.24491054904380014}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 90, "2": 513, "3": 204}, "net_accuracy": 0.24892041949413943}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 770, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.23750771128932757}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 734, "1": 0, "2": 0, "3": 22}, "net_accuracy": 0.23318938926588526}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 495, "1": 0, "2": 0, "3": 233}, "net_accuracy": 0.22455274521900062}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 584, "2": 0, "3": 304}, "net_accuracy": 0.27390499691548426}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 770, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.23750771128932757}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 1, "1": 867, "2": 0, "3": 0}, "net_accuracy": 0.2677359654534238}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 2, "2": 0, "3": 810}, "net_accuracy": 0.25046267735965455}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 766, "1": 0, "2": 11, "3": 0}, "net_accuracy": 0.23966687230104874}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 355, "2": 0, "3": 546}, "net_accuracy": 0.27791486736582355}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 0, "1": 0, "2": 0, "3": 810}, "net_accuracy": 0.2498457742134485}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 194, "1": 136, "2": 178, "3": 308}, "net_accuracy": 0.25169648365206665}

mmlu_other/few_shot_0/EleutherAI_gpt-neo-1.3B/last_token_relative_depth_100/accuracy_output.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 770, "1": 869, "2": 791, "3": 812}, "correct_per_class": {"0": 194, "1": 136, "2": 178, "3": 308}, "net_accuracy": 0.25169648365206665}