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  1. latentscope/.DS_Store +0 -0
  2. latentscope/clusters/cluster-001-labels-001.json +3 -2
  3. latentscope/clusters/cluster-001-labels-001.parquet +2 -2
  4. latentscope/clusters/cluster-001-labels-002.json +13 -0
  5. latentscope/clusters/cluster-001-labels-002.parquet +3 -0
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  7. latentscope/clusters/cluster-001.json +2 -2
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  10. latentscope/embeddings/.DS_Store +0 -0
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  25. latentscope/plots/plots-scopes-001-001.json +25 -0
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  30. latentscope/scopes/scopes-001.json +0 -0
  31. latentscope/scopes/scopes-001.parquet +2 -2
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  35. latentscope/umaps/umap-001.png +2 -2
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1.90it/s]", "73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 159/217 [01:38<00:31, 1.86it/s]", "", "", "73%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 159/217 [01:39<00:31, 1.86it/s]", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 160/217 [01:39<00:29, 1.90it/s]", "", "", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258e | 160/217 [01:40<00:29, 1.90it/s]", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 161/217 [01:40<00:33, 1.66it/s]", "", "", "74%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 161/217 [01:40<00:33, 1.66it/s]", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 162/217 [01:40<00:31, 1.74it/s]", "", "", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 162/217 [01:41<00:31, 1.74it/s]", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 163/217 [01:41<00:34, 1.58it/s]", "", "", "75%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 163/217 [01:41<00:34, 1.58it/s]", 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latentscope/jobs/7c06067a-bc89-4ada-a3a1-8965bc43c035.json ADDED
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+ {"id": "7c06067a-bc89-4ada-a3a1-8965bc43c035", "dataset": "squad", "job_name": "sae", "command": "ls-sae \"squad\" \"embedding-003\" \"enjalot/sae-nomic-text-v1.5-FineWeb-edu-100BT\" 64_32", "status": "completed", "last_update": "2024-11-13 14:47:40.020012", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.", "_torch_pytree._register_pytree_node(", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: sae-001", "Triton not installed, using eager implementation of SAE decoder.", "loading embeddings", "", "Fetching 2 files: 0%| | 0/2 [00:00<?, ?it/s]", "Fetching 2 files: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 2/2 [00:00<00:00, 53773.13it/s]", "Dropping extra args {'signed': False}", "Encoding embeddings with SAE", "", "Encoding batches: 0%| | 0/164 [00:00<?, ?it/s]", "Encoding batches: 51%|\u2588\u2588\u2588\u2588\u2588 | 83/164 [00:00<00:00, 807.13it/s]", "Encoding batches: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 164/164 [00:00<00:00, 332.71it/s]", "Encoding batches: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 164/164 [00:00<00:00, 365.19it/s]", "encoding completed", "saving to disk", "calculating summary statistics", "ALL ACTS SHAPE (20958, 64)", "ALL INDS SHAPE (20958, 64)", "MATRIX (20958, 24576)", "MAX ACTIVATIONS (24576,)", "MAX ACTIVATIONS [0.03289945 0.04122668 0.06773697 ... 0.03159586 0. 0.08659168]", "Number of dead features: 4353", "done with sae-001"], "times": ["2024-11-13 14:47:37.901724", "2024-11-13 14:47:37.901981", "2024-11-13 14:47:37.910995", "2024-11-13 14:47:37.911095", "2024-11-13 14:47:38.852601", "2024-11-13 14:47:38.852782", "2024-11-13 14:47:38.852883", "2024-11-13 14:47:38.852973", "2024-11-13 14:47:38.853059", "2024-11-13 14:47:38.853151", "2024-11-13 14:47:38.853231", "2024-11-13 14:47:38.853587", "2024-11-13 14:47:39.091640", "2024-11-13 14:47:39.091864", "2024-11-13 14:47:39.194689", "2024-11-13 14:47:39.540780", "2024-11-13 14:47:39.541089", "2024-11-13 14:47:39.541250", "2024-11-13 14:47:40.017265", "2024-11-13 14:47:40.017862", "2024-11-13 14:47:40.018153", "2024-11-13 14:47:40.018503", "2024-11-13 14:47:40.018774", "2024-11-13 14:47:40.019025", "2024-11-13 14:47:40.019282", "2024-11-13 14:47:40.019546", "2024-11-13 14:47:40.019787", "2024-11-13 14:47:40.020009"], "run_id": "sae-001"}
latentscope/jobs/8558b787-3b09-474b-8498-d1f39cca7e9e.json ADDED
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+ {"id": "8558b787-3b09-474b-8498-d1f39cca7e9e", "dataset": "squad", "job_name": "cluster", "command": "ls-cluster \"squad\" \"umap-001\" 25 5 0.005", "status": "completed", "last_update": "2024-11-13 14:48:20.970756", "progress": ["Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "RUNNING: cluster-001", "n_clusters: 217", "noise points assigned to clusters: 4228", "cluster raw_cluster", "0 183 -1", "1 189 189", "2 189 189", "3 189 189", "4 189 189", "wrote /Users/enjalot/latent-scope-demo/squad/clusters/cluster-001.parquet", "POINT SIZE 30 for 20958 points", "", "0%| | 0/217 [00:00<?, ?it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 217/217 [00:00<00:00, 9564.46it/s]", "done with cluster-001"], "times": ["2024-11-13 14:48:19.351580", "2024-11-13 14:48:19.351882", "2024-11-13 14:48:20.945218", "2024-11-13 14:48:20.945487", "2024-11-13 14:48:20.945606", "2024-11-13 14:48:20.945694", "2024-11-13 14:48:20.945790", "2024-11-13 14:48:20.945883", "2024-11-13 14:48:20.946210", "2024-11-13 14:48:20.946292", "2024-11-13 14:48:20.946380", "2024-11-13 14:48:20.946455", "2024-11-13 14:48:20.946550", "2024-11-13 14:48:20.967998", "2024-11-13 14:48:20.968101", "2024-11-13 14:48:20.970755"], "run_id": "cluster-001"}
latentscope/jobs/87db6d49-0947-494b-8051-502cc24fa9af.json ADDED
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latentscope/jobs/ae84231f-2275-44b5-a0b9-9b3a787db4e1.json ADDED
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+ {"id": "ae84231f-2275-44b5-a0b9-9b3a787db4e1", "dataset": "squad", "job_name": "upload-dataset", "command": "ls-upload-dataset \"/Users/enjalot/latent-scope-demo/squad\" \"ls-squad\" --main-parquet=\"scopes/scopes-001-input.parquet\" --private=false", "status": "running", "last_update": "2025-01-16 22:15:06.427257", "progress": ["ARGS Namespace(directory='/Users/enjalot/latent-scope-demo/squad', dataset_name='ls-squad', main_parquet='scopes/scopes-001-input.parquet', private='false', token=None)", "get key /Users/enjalot/code/latent-scope", "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.", "Token is valid (permission: write).", "Your token has been saved to /volumes/T9/huggingface/token", "Login successful", "USERNAME enjalot", "Creating repository: ls-squad", "Repository created/verified: https://huggingface.co/datasets/enjalot/ls-squad", "DIRECTORY /Users/enjalot/latent-scope-demo/squad"], "times": ["2025-01-16 22:15:06.071881", "2025-01-16 22:15:06.072104", "2025-01-16 22:15:06.072274", "2025-01-16 22:15:06.308925", "2025-01-16 22:15:06.313110", "2025-01-16 22:15:06.313413", "2025-01-16 22:15:06.379889", "2025-01-16 22:15:06.380367", "2025-01-16 22:15:06.426611", "2025-01-16 22:15:06.427248"]}
latentscope/jobs/b4a3ddd2-824f-40bf-b6fe-02dd330637c5.json ADDED
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+ {"id": "b4a3ddd2-824f-40bf-b6fe-02dd330637c5", "dataset": "squad", "job_name": "export-plot", "command": "ls-export-plot \"squad\" scopes-001 --plot_config=\"{\\\"label_over_points\\\":false,\\\"dynamic_label_size\\\":true,\\\"add_glow\\\":true,\\\"darkmode\\\":false,\\\"interactive\\\":false,\\\"dpi\\\":150,\\\"threshold\\\":-1,\\\"figsize\\\":[24,24],\\\"label_wrap_width\\\":10,\\\"point_size\\\":7,\\\"max_font_size\\\":32,\\\"min_font_size\\\":16,\\\"min_font_weight\\\":100,\\\"max_font_weight\\\":1000,\\\"font_family\\\":\\\"Roboto Condensed\\\",\\\"glow_keywords\\\":{\\\"kernel_bandwidth\\\":0.01,\\\"kernel\\\":\\\"exponential\\\",\\\"n_levels\\\":128,\\\"max_alpha\\\":0.75}}\"", "status": "completed", "last_update": "2024-11-14 12:23:42.755844", "progress": ["/Users/enjalot/code/latent-scope/testenv/lib/python3.12/site-packages/dask/dataframe/__init__.py:31: FutureWarning:", "Dask dataframe query planning is disabled because dask-expr is not installed.", "", "You can install it with `pip install dask[dataframe]` or `conda install dask`.", "This will raise in a future version.", "", "warnings.warn(msg, FutureWarning)", "MAIN", "ARGS Namespace(dataset_id='squad', scope_id='scopes-001', plot_config='{\"label_over_points\":false,\"dynamic_label_size\":true,\"add_glow\":true,\"darkmode\":false,\"interactive\":false,\"dpi\":150,\"threshold\":-1,\"figsize\":[24,24],\"label_wrap_width\":10,\"point_size\":7,\"max_font_size\":32,\"min_font_size\":16,\"min_font_weight\":100,\"max_font_weight\":1000,\"font_family\":\"Roboto Condensed\",\"glow_keywords\":{\"kernel_bandwidth\":0.01,\"kernel\":\"exponential\",\"n_levels\":128,\"max_alpha\":0.75}}')", "Loading environment variables from: /Users/enjalot/code/latent-scope/.env", "DATA DIR /Users/enjalot/latent-scope-demo", "RUNNING: plots-scopes-001-001", "loaded dataset and scope", "loaded scope parquet Index(['x', 'y', 'tile_index_32', 'tile_index_64', 'tile_index_128', 'cluster',", "'raw_cluster', 'label', 'deleted', 'ls_index'],", "dtype='object')", "Han Chinese Shi 486", "New York city 268", "city Charleston Festival 253", "Nigeria also Namibia 243", "India Hyderabad city 235", "...", "Records CBS Sony 31", "ASA film Weston 31", "National Archives records 30", "prime number primes 30", "year calendar Julian 26", "Name: count, Length: 217, dtype: int64", "making plot (20958, 2) (20958,)", "using config {'label_over_points': False, 'dynamic_label_size': True, 'add_glow': True, 'darkmode': False, 'dpi': 150, 'figsize': [24, 24], 'label_wrap_width': 10, 'point_size': 7, 'max_font_size': 32, 'min_font_size': 16, 'min_font_weight': 100, 'max_font_weight': 1000, 'font_family': 'Roboto Condensed', 'glow_keywords': {'kernel_bandwidth': 0.01, 'kernel': 'exponential', 'n_levels': 128, 'max_alpha': 0.75}, 'noise_label': 'No Topic'}", "Plot saved to /Users/enjalot/latent-scope-demo/squad/plots/plots-scopes-001-001.png", "Config saved to /Users/enjalot/latent-scope-demo/squad/plots/plots-scopes-001-001.json"], "times": ["2024-11-14 12:21:34.210926", "2024-11-14 12:21:34.211274", "2024-11-14 12:21:34.211695", "2024-11-14 12:21:34.211858", "2024-11-14 12:21:34.211993", "2024-11-14 12:21:34.212117", "2024-11-14 12:21:34.216323", "2024-11-14 12:23:42.753161", "2024-11-14 12:23:42.753372", "2024-11-14 12:23:42.753485", "2024-11-14 12:23:42.753580", "2024-11-14 12:23:42.753673", "2024-11-14 12:23:42.753765", "2024-11-14 12:23:42.753849", "2024-11-14 12:23:42.754026", "2024-11-14 12:23:42.754146", "2024-11-14 12:23:42.754244", "2024-11-14 12:23:42.754341", "2024-11-14 12:23:42.754689", "2024-11-14 12:23:42.754847", "2024-11-14 12:23:42.754938", "2024-11-14 12:23:42.755026", "2024-11-14 12:23:42.755104", "2024-11-14 12:23:42.755188", "2024-11-14 12:23:42.755268", "2024-11-14 12:23:42.755344", "2024-11-14 12:23:42.755421", "2024-11-14 12:23:42.755500", "2024-11-14 12:23:42.755584", "2024-11-14 12:23:42.755675", "2024-11-14 12:23:42.755752", "2024-11-14 12:23:42.755843"], "run_id": "plots-scopes-001-001"}
latentscope/jobs/b9e96b5f-ca92-4aa7-9431-be13cd23edf3.json ADDED
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17.95it/s]", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 184/217 [00:10<00:01, 18.15it/s]", "", "", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 184/217 [00:10<00:01, 18.15it/s]", "", "", "85%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258d | 184/217 [00:10<00:01, 18.15it/s]", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 186/217 [00:10<00:01, 18.16it/s]", "", "", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 186/217 [00:10<00:01, 18.16it/s]", "", "", "86%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258c | 186/217 [00:10<00:01, 18.16it/s]", "87%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 188/217 [00:10<00:01, 17.44it/s]", "", "", "87%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 188/217 [00:10<00:01, 17.44it/s]", "", "", "87%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258b | 188/217 [00:10<00:01, 17.44it/s]", "88%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258a | 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"99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589| 215/217 [00:12<00:00, 17.72it/s]", "", "", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589| 215/217 [00:12<00:00, 17.72it/s]", "", "", "99%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2589| 215/217 [00:12<00:00, 17.72it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 217/217 [00:12<00:00, 17.67it/s]", "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 217/217 [00:12<00:00, 17.53it/s]", "cluster 0 label: Chopin piano Sand", "cluster 1 label: Schwarzenegger valve made", "cluster 2 label: antenna signal wave", "cluster 3 label: Lee Scout novel", "cluster 4 label: Times Sun John", "cluster 5 label: West Adidas artists", "cluster 6 label: season show Idol", "cluster 7 label: system signals satellites", "cluster 8 label: Grand Freemasonry Lodge", "cluster 9 label: music often musical", "cluster 10 label: cappella mandolin instruments", "cluster 11 label: 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"cluster 35 label: Cubs team Wrigley", "cluster 36 label: teams Super Bowl", "cluster 37 label: Bell telephone tetrahedral", "cluster 38 label: testing software system", "cluster 39 label: oil bitumen crude", "cluster 40 label: group groups theory", "cluster 41 label: dielectric plates capacitors", "cluster 42 label: Barcelona club Cup", "cluster 43 label: football player Arsenal", "cluster 44 label: memory brain neurons", "cluster 45 label: pain animals chronic", "cluster 46 label: Nintendo game games", "cluster 47 label: beer alcohol grain", "cluster 48 label: pub pubs names", "cluster 49 label: Records CBS Sony", "cluster 50 label: comics Marvel Comics", "cluster 51 label: Universal Laemmle studio", "cluster 52 label: Tesla experiments Edison", "cluster 53 label: Huguenots Dutch France", "cluster 54 label: grapes juice color", "cluster 55 label: Doctor series BBC", "cluster 56 label: audio records tracks", "cluster 57 label: audio sampling kHz", "cluster 58 label: television 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latentscope/jobs/c45ffc71-0ca7-43fe-8fad-5503a6f41a3c.json ADDED
@@ -0,0 +1 @@
 
 
1
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latentscope/jobs/e025a7e3-b8a7-4c44-98b2-b8f441cc1585.json ADDED
@@ -0,0 +1 @@
 
 
1
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latentscope/jobs/e60d90c6-232c-4f17-bb14-1e54f0ee015e.json ADDED
@@ -0,0 +1 @@
 
 
1
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