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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. 3-RES-JB
    11. 8851
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Damon
    -0.70
    hedon
    -0.66
     Fuj
    -0.65
    ibel
    -0.63
     spoil
    -0.62
     degrade
    -0.62
     certific
    -0.62
     disg
    -0.62
     privile
    -0.62
    etsy
    -0.60
    POSITIVE LOGITS
    orses
    0.72
    urated
    0.72
    izont
    0.69
    istry
    0.68
    oker
    0.67
    rob
    0.67
    ONSORED
    0.67
    Rail
    0.64
    pite
    0.64
    okers
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.