Add files using upload-large-folder tool

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 59, "1": 35, "2": 622, "3": 102}, "net_accuracy": 0.2710404241219351}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 22, "1": 609, "2": 1, "3": 82}, "net_accuracy": 0.23658051689860835}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 637, "1": 3, "2": 8, "3": 0}, "net_accuracy": 0.2147117296222664}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 0, "2": 609, "3": 176}, "net_accuracy": 0.2601060304837641}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 365, "1": 1, "2": 330, "3": 0}, "net_accuracy": 0.23061630218687873}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 209, "1": 480, "2": 0, "3": 4}, "net_accuracy": 0.22962226640159045}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 292, "1": 33, "2": 397, "3": 0}, "net_accuracy": 0.2392312789927104}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 2, "1": 346, "2": 4, "3": 436}, "net_accuracy": 0.26110006626905236}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 284, "1": 30, "2": 397, "3": 0}, "net_accuracy": 0.2355864811133201}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 519, "1": 0, "2": 145, "3": 2}, "net_accuracy": 0.220675944333996}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 217, "1": 1, "2": 513, "3": 0}, "net_accuracy": 0.24221338634857523}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 575, "1": 20, "2": 19, "3": 31}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 302, "1": 0, "2": 409, "3": 0}, "net_accuracy": 0.2355864811133201}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 509, "1": 68, "2": 2, "3": 87}, "net_accuracy": 0.220675944333996}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 383, "1": 0, "2": 303, "3": 6}, "net_accuracy": 0.2292909211398277}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 486, "1": 164, "2": 10, "3": 11}, "net_accuracy": 0.22233267064280982}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 311, "1": 81, "2": 226, "3": 100}, "net_accuracy": 0.2379058979456594}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 46, "1": 422, "2": 261, "3": 2}, "net_accuracy": 0.24221338634857523}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 182, "1": 149, "2": 283, "3": 147}, "net_accuracy": 0.2521537442014579}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 110, "1": 0, "2": 29, "3": 665}, "net_accuracy": 0.2664015904572565}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 146, "1": 14, "2": 201, "3": 414}, "net_accuracy": 0.2567925778661365}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 516, "1": 149, "2": 0, "3": 3}, "net_accuracy": 0.22133863485752153}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 584, "1": 55, "2": 9, "3": 2}, "net_accuracy": 0.21537442014579192}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 178, "1": 28, "2": 216, "3": 347}, "net_accuracy": 0.25480450629555995}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 641, "1": 0, "2": 2, "3": 2}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 392, "1": 23, "2": 188, "3": 101}, "net_accuracy": 0.2332670642809808}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 3, "2": 54, "3": 812}, "net_accuracy": 0.28793903247183567}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 248, "1": 34, "2": 243, "3": 240}, "net_accuracy": 0.25347912524850896}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 8, "1": 303, "2": 174, "3": 298}, "net_accuracy": 0.25944333996023855}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 160, "1": 48, "2": 227, "3": 316}, "net_accuracy": 0.24884029158383036}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 77, "1": 6, "2": 0, "3": 789}, "net_accuracy": 0.28893306825712395}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 1, "1": 0, "2": 776, "3": 0}, "net_accuracy": 0.25745526838966204}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 145, "1": 544, "2": 6, "3": 3}, "net_accuracy": 0.23127899271040425}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_1/gpt2-medium/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 1, "2": 471, "3": 384}, "net_accuracy": 0.2836315440689198}