Add files using upload-large-folder tool

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "1": 1, "2": 0, "3": 868}, "net_accuracy": 0.28793903247183567}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "1": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 83, "1": 294, "2": 384, "3": 2}, "net_accuracy": 0.25281643472498344}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 85, "2": 307, "3": 421}, "net_accuracy": 0.26938369781312127}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 564, "1": 4, "2": 89, "3": 0}, "net_accuracy": 0.21769383697813122}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 316, "1": 52, "2": 264, "3": 90}, "net_accuracy": 0.2392312789927104}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 9, "1": 3, "2": 294, "3": 547}, "net_accuracy": 0.28263750828363154}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 25, "1": 17, "2": 438, "3": 370}, "net_accuracy": 0.28164347249834326}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 33, "1": 613, "2": 55, "3": 2}, "net_accuracy": 0.23293571901921803}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 13, "1": 587, "2": 2, "3": 149}, "net_accuracy": 0.24884029158383036}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 170, "1": 21, "2": 10, "3": 594}, "net_accuracy": 0.2634194831013916}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 150, "1": 392, "2": 15, "3": 310}, "net_accuracy": 0.28727634194831014}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 99, "1": 26, "2": 122, "3": 371}, "net_accuracy": 0.2047713717693837}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 377, "1": 419, "2": 311, "3": 416}, "net_accuracy": 0.5046388336646785}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 386, "1": 446, "2": 286, "3": 399}, "net_accuracy": 0.5026507620941021}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 1, "1": 250, "2": 0, "3": 568}, "net_accuracy": 0.27137176938369784}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 411, "1": 476, "2": 216, "3": 380}, "net_accuracy": 0.4913850231941683}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 645, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 591, "2": 0, "3": 177}, "net_accuracy": 0.2544731610337972}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 168, "1": 505, "2": 209, "3": 353}, "net_accuracy": 0.40921139827700465}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 408, "1": 478, "2": 227, "3": 364}, "net_accuracy": 0.48939695162359176}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 7, "1": 2, "2": 540, "3": 352}, "net_accuracy": 0.29854208084824385}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 399, "1": 454, "2": 244, "3": 403}, "net_accuracy": 0.4970178926441352}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 395, "1": 411, "2": 371, "3": 72}, "net_accuracy": 0.41385023194168324}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 314, "1": 106, "2": 66, "3": 0}, "net_accuracy": 0.1610337972166998}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 328, "1": 408, "2": 472, "3": 254}, "net_accuracy": 0.48442677269715045}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "1": 114, "2": 131, "3": 513}, "net_accuracy": 0.25115970841616964}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 165, "1": 525, "2": 399, "3": 395}, "net_accuracy": 0.4917163684559311}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 118, "1": 56, "2": 721, "3": 0}, "net_accuracy": 0.29655400927766734}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 225, "1": 469, "2": 401, "3": 408}, "net_accuracy": 0.49801192842942343}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 533, "1": 270, "2": 54, "3": 390}, "net_accuracy": 0.4131875414181577}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 321, "1": 441, "2": 390, "3": 376}, "net_accuracy": 0.5062955599734924}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 41, "1": 484, "2": 215, "3": 556}, "net_accuracy": 0.4294234592445328}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 113, "1": 452, "2": 377, "3": 474}, "net_accuracy": 0.4691848906560636}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.29.hook_resid_post.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 364, "1": 427, "2": 341, "3": 392}, "net_accuracy": 0.5049701789264414}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 0, "2": 0, "3": 871}, "net_accuracy": 0.2886017229953612}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 2, "2": 0, "3": 868}, "net_accuracy": 0.2882703777335984}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.31.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 22, "1": 194, "2": 0, "3": 241}, "net_accuracy": 0.15142478462557984}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 636, "1": 4, "2": 0, "3": 0}, "net_accuracy": 0.21206096752816433}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 88, "1": 2, "2": 0, "3": 748}, "net_accuracy": 0.2776673293571902}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 70, "1": 0, "2": 453, "3": 239}, "net_accuracy": 0.2524850894632207}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 641, "1": 0, "2": 0, "3": 4}, "net_accuracy": 0.21371769383697814}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 64, "1": 233, "2": 355, "3": 120}, "net_accuracy": 0.25579854208084823}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 625, "1": 0, "2": 0, "3": 25}, "net_accuracy": 0.21537442014579192}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json

@@ -0,0 +1 @@
+{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 30, "1": 3, "2": 110, "3": 699}, "net_accuracy": 0.27899271040424123}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 539, "1": 0, "2": 0, "3": 158}, "net_accuracy": 0.2309476474486415}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 249, "1": 0, "2": 1, "3": 536}, "net_accuracy": 0.26043737574552683}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 378, "1": 377, "2": 383, "3": 383}, "net_accuracy": 0.5039761431411531}

mmlu_STEM/few_shot_0/meta-llama_Meta-Llama-3-8B-Instruct/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": 378, "1": 377, "2": 383, "3": 383}, "net_accuracy": 0.5039761431411531}