Add files using upload-large-folder tool

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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_0/EleutherAI_gpt-j-6B/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": 466, "1": 200, "2": 0, "3": 20}, "net_accuracy": 0.22730284956925115}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 679, "2": 10, "3": 34}, "net_accuracy": 0.23956262425447317}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 592, "1": 2, "2": 64, "3": 0}, "net_accuracy": 0.21802518223989398}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 719, "2": 0, "3": 0}, "net_accuracy": 0.23823724320742212}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 227, "1": 458, "2": 16, "3": 12}, "net_accuracy": 0.23624917163684558}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 2, "1": 599, "2": 130, "3": 0}, "net_accuracy": 0.24221338634857523}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 643, "1": 4, "2": 3, "3": 0}, "net_accuracy": 0.21537442014579192}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 69, "1": 634, "2": 38, "3": 0}, "net_accuracy": 0.24552683896620278}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 620, "1": 8, "2": 23, "3": 0}, "net_accuracy": 0.21570576540755468}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 643, "1": 0, "2": 4, "3": 0}, "net_accuracy": 0.21438038436050363}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 69, "1": 493, "2": 195, "3": 0}, "net_accuracy": 0.2508283631544069}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 289, "2": 145, "3": 321}, "net_accuracy": 0.25016567263088135}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 266, "1": 125, "2": 41, "3": 315}, "net_accuracy": 0.24751491053677932}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 635, "1": 2, "2": 11, "3": 0}, "net_accuracy": 0.2147117296222664}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 555, "1": 0, "2": 5, "3": 126}, "net_accuracy": 0.22730284956925115}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 3, "1": 63, "2": 683, "3": 29}, "net_accuracy": 0.2577866136514248}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.24.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 644, "1": 1, "2": 0, "3": 1}, "net_accuracy": 0.2140490390987409}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.24.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 588, "1": 9, "2": 72, "3": 4}, "net_accuracy": 0.2229953611663353}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.25.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 18, "2": 101, "3": 725}, "net_accuracy": 0.27965540092776675}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 412, "1": 8, "2": 59, "3": 253}, "net_accuracy": 0.24254473161033796}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.26.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 128, "2": 13, "3": 720}, "net_accuracy": 0.2852882703777336}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.27.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 15, "1": 323, "2": 425, "3": 0}, "net_accuracy": 0.25281643472498344}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 32, "2": 366, "3": 412}, "net_accuracy": 0.268389662027833}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 553, "1": 0, "2": 126, "3": 0}, "net_accuracy": 0.22498343273691188}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 36, "1": 628, "2": 0, "3": 63}, "net_accuracy": 0.24088800530152418}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/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": 363, "1": 266, "2": 69, "3": 0}, "net_accuracy": 0.23127899271040425}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 58, "1": 0, "2": 2, "3": 770}, "net_accuracy": 0.27501656726308815}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 231, "1": 472, "2": 0, "3": 0}, "net_accuracy": 0.23293571901921803}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 526, "1": 0, "2": 0, "3": 125}, "net_accuracy": 0.21570576540755468}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 530, "1": 1, "2": 0, "3": 122}, "net_accuracy": 0.21636845593108017}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_blocks.9.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 364, "1": 1, "2": 0, "3": 333}, "net_accuracy": 0.23127899271040425}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_ln_final.hook_normalized.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 199, "1": 342, "2": 173, "3": 64}, "net_accuracy": 0.2577866136514248}

mmlu_STEM/few_shot_0/EleutherAI_gpt-j-6B/last_token_relative_depth_100/accuracy_output.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 199, "1": 342, "2": 173, "3": 64}, "net_accuracy": 0.2577866136514248}