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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5101
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    INDEX
    Explanations

    details related to the chemical composition and creation process of various substances

    oai_token-act-pair · gpt-3.5-turbo

    processes related to the production or transformation of materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Privacy
    -0.82
    Phones
    -0.81
    entry
    -0.79
    Trend
    -0.79
    gencies
    -0.79
    Planet
    -0.79
    Own
    -0.77
    ä½ľ
    -0.77
    Gate
    -0.75
    answer
    -0.74
    POSITIVE LOGITS
     powdered
    1.45
     distilled
    1.34
     ammon
    1.28
     vinegar
    1.23
     dried
    1.23
     potassium
    1.21
     gelatin
    1.21
     diluted
    1.20
     petroleum
    1.18
     sulfur
    1.17
    Activations Density 0.257%

    No Known Activations