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README.md

@@ -39,8 +39,15 @@ Each artifact directory contains:
   and SHA-256 integrity information.
 - `lens.safetensors`: matrices named `J.0`, `J.1`, and so on.
 
-The first artifact is fitted on 25 documents from `NeelNanda/pile-10k` for
-`Qwen/Qwen3.5-0.8B-Base`. Its manifest explicitly allows compatible use with
-`Qwen/Qwen3.5-0.8B`. That Base-to-Instruct reuse is a convenience approximation;
-an artifact fitted on the exact checkpoint is preferred for rigorous analysis.
+The catalog includes locally fitted 0.8B and 2B Base maps. Their manifests
+explicitly allow compatible use with the corresponding Instruct checkpoints.
+That Base-to-Instruct reuse is a convenience approximation; an artifact fitted
+on the exact checkpoint is preferred for rigorous analysis.
+
+The Qwen3.5 9B and 27B entries reference checkpoint-matched J-Lens and R-Lens
+maps from the R-Lens authors' pinned
+[`workspace-lenses`](https://huggingface.co/camilablank/workspace-lenses)
+release. The catalog records the immutable revision, file size, and SHA-256;
+llmdbg verifies the downloaded file before loading it. This avoids duplicating
+roughly 8.7 GB while keeping artifact resolution reproducible.
 

index.json

@@ -18,7 +18,9 @@
       "source_repo_id": "camilablank/workspace-lenses",
       "source_repo_type": "model",
       "source_revision": "d740106d1e0f95456dc8718fba2895e9c8ffd6ef",
-      "source_filename": "qwen3.5-9b/j-lens/lens.pt"
+      "source_filename": "qwen3.5-9b/j-lens/lens.pt",
+      "source_size": 1040194903,
+      "source_sha256": "e9396f37eec4c031462b24559b0360027ac45d5944628214301b8e54883b58f3"
     },
     {
       "model_id": "Qwen/Qwen3.5-27B",
@@ -28,7 +30,16 @@
       "source_repo_id": "camilablank/workspace-lenses",
       "source_repo_type": "model",
       "source_revision": "d740106d1e0f95456dc8718fba2895e9c8ffd6ef",
-      "source_filename": "qwen3.5-27b/j-lens/lens.pt"
+      "source_filename": "qwen3.5-27b/j-lens/lens.pt",
+      "source_size": 3303028503,
+      "source_sha256": "308a49842eea7085f93f0b3fd81a77288a2f923f14e3264d3c727088cdf3b916"
+    },
+    {
+      "model_id": "openai-community/gpt2",
+      "compatible_models": [],
+      "method": "ordinary_jacobian",
+      "version": 1,
+      "path": "j-lenses/openai/gpt2/jacobian-v1"
     }
   ],
   "r_lenses": [
@@ -58,7 +69,9 @@
       "source_repo_id": "camilablank/workspace-lenses",
       "source_repo_type": "model",
       "source_revision": "d740106d1e0f95456dc8718fba2895e9c8ffd6ef",
-      "source_filename": "qwen3.5-9b/r-lens/lens.pt"
+      "source_filename": "qwen3.5-9b/r-lens/lens.pt",
+      "source_size": 1040195031,
+      "source_sha256": "76c7372c52b453958e064e4d366fa868cb3733460728236cf2e9fa6bdb632d52"
     },
     {
       "model_id": "Qwen/Qwen3.5-27B",
@@ -68,7 +81,16 @@
       "source_repo_id": "camilablank/workspace-lenses",
       "source_repo_type": "model",
       "source_revision": "d740106d1e0f95456dc8718fba2895e9c8ffd6ef",
-      "source_filename": "qwen3.5-27b/r-lens/lens.pt"
+      "source_filename": "qwen3.5-27b/r-lens/lens.pt",
+      "source_size": 3303028631,
+      "source_sha256": "3584be12b2ed8ddd85f68a1105afa84491d1937c250c1fdf6b35d4f6540403d9"
+    },
+    {
+      "model_id": "openai-community/gpt2",
+      "compatible_models": [],
+      "method": "relp",
+      "version": 1,
+      "path": "r-lenses/openai/gpt2/relp-v1"
     }
   ]
 }

j-lenses/openai/gpt2/jacobian-v1/lens.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b117b4cee15e0f3e42057bd96bb152afc2041fcacbe46e78e80284b8b25a36ca
+size 14156664

j-lenses/openai/gpt2/jacobian-v1/manifest.json

@@ -0,0 +1,36 @@
+{
+  "format_version": 1,
+  "artifact": "lens.safetensors",
+  "sha256": "b117b4cee15e0f3e42057bd96bb152afc2041fcacbe46e78e80284b8b25a36ca",
+  "model_id": "openai-community/gpt2",
+  "compatible_models": [],
+  "model_revision": null,
+  "method": "ordinary_jacobian",
+  "method_version": 1,
+  "hidden_size": 768,
+  "layers": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11
+  ],
+  "target_layer": 11,
+  "dtype": "float16",
+  "dataset": "NeelNanda/pile-10k",
+  "prompts": 25,
+  "max_seq_len": 128,
+  "skip_first": 4,
+  "rules": {
+    "ln_rule": false,
+    "identity_rule": false,
+    "half_rule": false
+  }
+}

r-lenses/openai/gpt2/relp-v1/lens.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6667aea11a3f2c88983da87e580afb4e92291c78d82b64e8be41e8a877e33782
+size 14156664

r-lenses/openai/gpt2/relp-v1/manifest.json

@@ -0,0 +1,36 @@
+{
+  "format_version": 1,
+  "artifact": "lens.safetensors",
+  "sha256": "6667aea11a3f2c88983da87e580afb4e92291c78d82b64e8be41e8a877e33782",
+  "model_id": "openai-community/gpt2",
+  "compatible_models": [],
+  "model_revision": null,
+  "method": "relp",
+  "method_version": 1,
+  "hidden_size": 768,
+  "layers": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11
+  ],
+  "target_layer": 11,
+  "dtype": "float16",
+  "dataset": "NeelNanda/pile-10k",
+  "prompts": 25,
+  "max_seq_len": 128,
+  "skip_first": 4,
+  "rules": {
+    "ln_rule": true,
+    "identity_rule": true,
+    "half_rule": false
+  }
+}