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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. 6593
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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
    Not in Any Lists

    No Comments

    Negative Logits
     ORIG
    -0.73
     Matte
    -0.68
     sums
    -0.67
     Fraz
    -0.67
     Oo
    -0.63
    roots
    -0.62
     Amph
    -0.61
    ¹
    -0.61
    planes
    -0.60
     DEM
    -0.60
    POSITIVE LOGITS
    igham
    0.85
    icter
    0.77
    asketball
    0.73
    ified
    0.73
    ifice
    0.73
    acebook
    0.71
    oldemort
    0.70
    efined
    0.69
    cible
    0.69
    isoft
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.