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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19835
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    Explanations

    product names and descriptions, possibly related to shopping and promotions

    oai_token-act-pair · gpt-3.5-turbo

    items related to food and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     regress
    -0.84
     privileged
    -0.83
     intent
    -0.83
     urgency
    -0.82
     metabolites
    -0.82
     vulnerabilities
    -0.82
     outsiders
    -0.82
     responsibility
    -0.81
     culp
    -0.81
     clauses
    -0.81
    POSITIVE LOGITS
     Balloon
    1.46
     Wooden
    1.40
     Bottle
    1.39
     Plastic
    1.39
     Brush
    1.38
     Painting
    1.36
     Wedding
    1.35
     Poster
    1.34
     Roller
    1.32
     Hair
    1.31
    Activations Density 0.289%

    No Known Activations