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- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.10.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.12.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.13.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.14.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.14.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.15.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.15.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.16.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.17.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.18.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.19.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.2.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.20.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.21.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.24.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.25.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.3.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.6.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.7.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/EleutherAI_gpt-j-6B/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.9.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.24.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.29.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.29.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.30.hook_mlp_out.json +1 -0
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 642, "1": 0, "2": 0, "3": 0}, "net_accuracy": 0.21272365805168986}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 588, "1": 20, "2": 5, "3": 72}, "net_accuracy": 0.22697150430748841}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 643, "1": 0, "2": 0, "3": 3}, "net_accuracy": 0.2140490390987409}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 55, "1": 664, "2": 2, "3": 0}, "net_accuracy": 0.23889993373094764}
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{"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}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 644, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.21371769383697814}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 620, "1": 0, "2": 0, "3": 30}, "net_accuracy": 0.21537442014579192}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 460, "1": 0, "2": 0, "3": 244}, "net_accuracy": 0.2332670642809808}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 26, "1": 691, "2": 0, "3": 0}, "net_accuracy": 0.23757455268389663}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 638, "1": 0, "2": 0, "3": 14}, "net_accuracy": 0.21603711066931744}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 635, "1": 0, "2": 0, "3": 10}, "net_accuracy": 0.21371769383697814}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 188, "1": 498, "2": 24, "3": 2}, "net_accuracy": 0.23591782637508282}
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{"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}
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{"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}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 563, "1": 36, "2": 0, "3": 66}, "net_accuracy": 0.22034459907223328}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 576, "1": 17, "2": 5, "3": 72}, "net_accuracy": 0.22200132538104705}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 504, "1": 44, "2": 0, "3": 110}, "net_accuracy": 0.21802518223989398}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 477, "1": 27, "2": 1, "3": 170}, "net_accuracy": 0.22365805168986083}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 206, "1": 412, "2": 64, "3": 21}, "net_accuracy": 0.23293571901921803}
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mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 308, "1": 111, "2": 7, "3": 275}, "net_accuracy": 0.2322730284956925}
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mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 295, "1": 126, "2": 7, "3": 273}, "net_accuracy": 0.2322730284956925}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 155, "1": 111, "2": 12, "3": 470}, "net_accuracy": 0.24784625579854208}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 530, "1": 98, "2": 6, "3": 4}, "net_accuracy": 0.21139827700463884}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 207, "1": 106, "2": 65, "3": 345}, "net_accuracy": 0.23956262425447317}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.29.hook_mlp_out.json
ADDED
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 1, "1": 188, "2": 581, "3": 0}, "net_accuracy": 0.2551358515573227}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.29.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 64, "1": 215, "2": 215, "3": 225}, "net_accuracy": 0.23823724320742212}
|
mmlu_STEM/few_shot_2/gpt2-xl/last_token_relative_depth_100/accuracy_blocks.30.hook_mlp_out.json
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 21, "1": 669, "2": 1, "3": 5}, "net_accuracy": 0.23061630218687873}
|