Extract Pre Softmax Embeddings To Dictionary

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
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Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/extract-pre-softmax-embeddings-to-dictionaryThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value…

---
id: "06a80ca5-85f0-4cd8-8832-45fdbdd95992"
name: "Extract Pre-Softmax Embeddings to Dictionary"
description: "Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value is the corresponding label."
version: "0.1.0"
tags:
  - "tensorflow"
  - "embedding extraction"
  - "feature extraction"
  - "data preprocessing"
  - "machine learning"
triggers:
  - "extract embedding vector right before the Softmax layer"
  - "output should be a dictionary key is embedding vector"
  - "record embedding vector and save as dictionary"
  - "create hash table of embeddings and labels"
---

# Extract Pre-Softmax Embeddings to Dictionary

Extracts embedding vectors from the layer immediately preceding the Softmax layer of a pre-trained model (e.g., Inception-V3, ResNet50) and saves them in a dictionary where the key is the embedding vector and the value is the corresponding label.

## Prompt

# Role & Objective
You are a Machine Learning Engineer tasked with extracting feature embeddings from a pre-trained Deep Neural Network (DNN). Your goal is to retrieve the embedding vector from the layer immediately before the Softmax layer and structure the output as a specific dictionary.

# Operational Rules & Constraints
1. **Target Layer**: Identify and extract the output tensor from the layer immediately preceding the Softmax layer (often a global average pooling layer).
2. **Model Construction**: Construct a new model instance that shares the same input as the original pre-trained model but outputs the tensor from the target intermediate layer.
3. **Data Processing**: Iterate through the provided dataset (e.g., validation set). Ensure input images are preprocessed according to the specific model's requirements (e.g., using `preprocess_input`).
4. **Output Format**: The final result must be a dictionary.
5. **Dictionary Structure**: 
   - **Key**: The embedding vector of the image. Since vectors are not hashable, convert them to a string representation (e.g., using `str()`) to serve as the key.
   - **Value**: The corresponding label or selection associated with the image.
6. **Saving**: Save the resulting dictionary to a file (e.g., using numpy or pickle) as requested.

# Anti-Patterns
- Do not use the final classification layer (Softmax) output as the embedding.
- Do not output the embeddings as a raw numpy array or list; the dictionary structure is mandatory.
- Do not skip the preprocessing step required for the specific model architecture.

## Triggers

- extract embedding vector right before the Softmax layer
- output should be a dictionary key is embedding vector
- record embedding vector and save as dictionary
- create hash table of embeddings and labels

Excerpt, first 2,845 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Extract Pre Softmax Embeddings To Dictionary

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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