Divyanshu-Bhatt commited on
Commit
fceac4e
·
verified ·
1 Parent(s): ffc340f

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.15.hook_mlp_out.csv +0 -0
  2. mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.18.hook_resid_post.csv +0 -0
  3. mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.19.hook_resid_post.csv +0 -0
  4. mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_mlp_out.csv +0 -0
  5. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json +1 -0
  6. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json +1 -0
  7. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json +1 -0
  8. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json +1 -0
  9. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json +1 -0
  10. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json +1 -0
  11. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json +1 -0
  12. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json +1 -0
  13. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json +1 -0
  14. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json +1 -0
  15. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json +1 -0
  16. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json +1 -0
  17. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json +1 -0
  18. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json +1 -0
  19. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json +1 -0
  20. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json +1 -0
  21. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json +1 -0
  22. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json +1 -0
  23. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json +1 -0
  24. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json +1 -0
  25. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json +1 -0
  26. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json +1 -0
  27. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json +1 -0
  28. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json +1 -0
  29. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json +1 -0
  30. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json +1 -0
  31. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json +1 -0
  32. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json +1 -0
  33. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json +1 -0
  34. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json +1 -0
  35. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json +1 -0
  36. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json +1 -0
  37. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json +1 -0
  38. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json +1 -0
  39. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json +1 -0
  40. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json +1 -0
  41. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json +1 -0
  42. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json +1 -0
  43. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json +1 -0
  44. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json +1 -0
  45. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json +1 -0
  46. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json +1 -0
  47. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json +1 -0
  48. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json +1 -0
  49. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json +1 -0
  50. mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json +1 -0
mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.15.hook_mlp_out.csv ADDED
The diff for this file is too large to render. See raw diff
 
mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.18.hook_resid_post.csv ADDED
The diff for this file is too large to render. See raw diff
 
mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.19.hook_resid_post.csv ADDED
The diff for this file is too large to render. See raw diff
 
mmlu_STEM/few_shot_2/meta-llama_Llama-2-7b-hf/last_token_relative_depth_100/intrinsic/mle_local_dims/blocks.8.hook_mlp_out.csv ADDED
The diff for this file is too large to render. See raw diff
 
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.0.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.0.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.1.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 641, "1": 0, "2": 0, "3": 1}, "net_accuracy": 0.21272365805168986}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.1.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.10.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 67, "1": 34, "2": 0, "3": 692}, "net_accuracy": 0.26275679257786616}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.10.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 611, "1": 8, "2": 0, "3": 30}, "net_accuracy": 0.21504307488402916}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.11.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 360, "1": 163, "2": 38, "3": 162}, "net_accuracy": 0.23956262425447317}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.11.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 609, "1": 12, "2": 1, "3": 29}, "net_accuracy": 0.21570576540755468}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.12.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 59, "1": 70, "2": 128, "3": 581}, "net_accuracy": 0.2776673293571902}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.12.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 601, "1": 8, "2": 2, "3": 44}, "net_accuracy": 0.2170311464546057}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.13.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 161, "1": 536, "2": 0, "3": 1}, "net_accuracy": 0.23127899271040425}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.13.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 595, "1": 52, "2": 0, "3": 8}, "net_accuracy": 0.2170311464546057}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.14.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 17, "1": 166, "2": 31, "3": 640}, "net_accuracy": 0.2829688535453943}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.14.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 581, "1": 89, "2": 0, "3": 32}, "net_accuracy": 0.23260437375745527}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.15.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 319, "1": 141, "2": 176, "3": 101}, "net_accuracy": 0.24420145791915177}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.15.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 636, "1": 17, "2": 1, "3": 3}, "net_accuracy": 0.21769383697813122}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.16.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 605, "1": 30, "2": 0, "3": 106}, "net_accuracy": 0.24552683896620278}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.16.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 637, "1": 17, "2": 0, "3": 24}, "net_accuracy": 0.22465208747514911}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.17.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 16, "1": 501, "2": 343, "3": 7}, "net_accuracy": 0.28727634194831014}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.17.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 426, "1": 268, "2": 90, "3": 161}, "net_accuracy": 0.31312127236580517}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.18.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 373, "1": 145, "2": 57, "3": 80}, "net_accuracy": 0.2170311464546057}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.18.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 233, "1": 203, "2": 122, "3": 515}, "net_accuracy": 0.355533465871438}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.19.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 587, "1": 38, "2": 4, "3": 36}, "net_accuracy": 0.22034459907223328}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.19.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 246, "1": 176, "2": 150, "3": 482}, "net_accuracy": 0.3492379058979457}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 495, "2": 76, "3": 216}, "net_accuracy": 0.2607687210072896}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.2.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.20.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 20, "1": 197, "2": 594, "3": 3}, "net_accuracy": 0.26971504307488403}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.20.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 374, "1": 111, "2": 247, "3": 298}, "net_accuracy": 0.3412856196156395}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.21.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 0, "1": 530, "2": 49, "3": 167}, "net_accuracy": 0.24718356527501656}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.21.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 186, "1": 267, "2": 237, "3": 403}, "net_accuracy": 0.3621603711066932}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.22.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 4, "1": 1, "2": 757, "3": 12}, "net_accuracy": 0.25646123260437376}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.22.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 121, "1": 250, "2": 412, "3": 303}, "net_accuracy": 0.35984095427435386}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.23.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 372, "1": 27, "2": 65, "3": 92}, "net_accuracy": 0.18422796554009277}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.23.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 247, "1": 244, "2": 339, "3": 239}, "net_accuracy": 0.35420808482438704}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.3.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.3.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
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_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.4.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 50, "1": 1, "2": 0, "3": 814}, "net_accuracy": 0.2866136514247846}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.4.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"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}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.5.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 620, "1": 19, "2": 19, "3": 0}, "net_accuracy": 0.21802518223989398}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.5.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"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}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.6.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 2, "1": 324, "2": 8, "3": 449}, "net_accuracy": 0.25944333996023855}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.6.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 635, "1": 1, "2": 0, "3": 0}, "net_accuracy": 0.21073558648111332}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.7.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 6, "1": 622, "2": 114, "3": 3}, "net_accuracy": 0.2468522200132538}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.7.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 588, "1": 23, "2": 24, "3": 17}, "net_accuracy": 0.21603711066931744}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.8.hook_mlp_out.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 536, "1": 9, "2": 2, "3": 147}, "net_accuracy": 0.2299536116633532}
mmlu_STEM/few_shot_2/microsoft_phi-1_5/last_token_relative_depth_100/accuracy_blocks.8.hook_resid_post.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"total_per_class": {"0": 645, "1": 719, "2": 783, "3": 871}, "correct_per_class": {"0": 636, "1": 2, "2": 8, "3": 3}, "net_accuracy": 0.21504307488402916}