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- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.1.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.10.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.10.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.11.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.2.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.3.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.4.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.5.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.5.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.6.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.6.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.7.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.9.hook_mlp_out.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.9.hook_resid_post.csv +0 -0
- mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/ln_final.hook_normalized.csv +0 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.24.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.25.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.25.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.26.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.27.hook_resid_post.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.28.hook_mlp_out.json +1 -0
- mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.28.hook_resid_post.json +1 -0
mmlu_STEM/few_shot_0/EleutherAI_gpt-neo-125M/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.0.hook_mlp_out.csv
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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": 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": 645, "1": 1, "2": 0, "3": 0}, "net_accuracy": 0.2140490390987409}
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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": 645, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.2140490390987409}
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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": 624, "1": 0, "2": 7, "3": 19}, "net_accuracy": 0.21537442014579192}
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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": 411, "1": 66, "2": 131, "3": 71}, "net_accuracy": 0.22498343273691188}
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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": 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": 82, "3": 802}, "net_accuracy": 0.292909211398277}
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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": 584, "1": 46, "2": 3, "3": 12}, "net_accuracy": 0.21371769383697814}
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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": 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": 0}, "net_accuracy": 0.21338634857521538}
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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": 636, "1": 0, "2": 10, "3": 0}, "net_accuracy": 0.2140490390987409}
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{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 2, "1": 54, "2": 639, "3": 81}, "net_accuracy": 0.2571239231278993}
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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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| 1 |
+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 134, "1": 573, "2": 0, "3": 0}, "net_accuracy": 0.23426110006626905}
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mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json
ADDED
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@@ -0,0 +1 @@
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+
{"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 645, "1": 0, "2": 2, "3": 0}, "net_accuracy": 0.21438038436050363}
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mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.23.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": 639, "1": 0, "2": 6, "3": 3}, "net_accuracy": 0.2147117296222664}
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mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.24.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": 634, "1": 6, "2": 21, "3": 1}, "net_accuracy": 0.219350563286945}
|
mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.25.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": 230, "1": 440, "2": 20, "3": 3}, "net_accuracy": 0.22962226640159045}
|
mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.25.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": 627, "1": 0, "2": 13, "3": 15}, "net_accuracy": 0.2170311464546057}
|
mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.26.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": 599, "1": 0, "2": 18, "3": 24}, "net_accuracy": 0.2123923127899271}
|
mmlu_STEM/few_shot_0/gpt2-large/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": 573, "1": 54, "2": 38, "3": 1}, "net_accuracy": 0.220675944333996}
|
mmlu_STEM/few_shot_0/gpt2-large/last_token_relative_depth_100/accuracy_blocks.28.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": 634, "1": 2, "2": 8, "3": 5}, "net_accuracy": 0.21504307488402916}
|
mmlu_STEM/few_shot_0/gpt2-large/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": 603, "1": 11, "2": 36, "3": 1}, "net_accuracy": 0.21570576540755468}
|