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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. 0-RES-JB
    11. 6540
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inelli
    -0.70
    puter
    -0.67
    bench
    -0.65
    ollower
    -0.65
    abuse
    -0.65
    itone
    -0.65
    ijn
    -0.65
    minist
    -0.65
    delay
    -0.65
     [+
    -0.65
    POSITIVE LOGITS
    atche
    0.75
     Bid
    0.73
    bid
    0.70
     Berman
    0.68
     umb
    0.66
     Crescent
    0.65
     interns
    0.62
     Biology
    0.61
     chefs
    0.61
    opsis
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.