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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. 490
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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
    rome
    -0.71
    rium
    -0.69
    idia
    -0.66
    ipation
    -0.65
    coni
    -0.64
    olved
    -0.64
    vern
    -0.63
    erity
    -0.61
    ocene
    -0.61
     Magnum
    -0.61
    POSITIVE LOGITS
    itsch
    0.91
     awa
    0.78
    Combat
    0.74
    CVE
    0.69
     unden
    0.68
     acknow
    0.67
    Layout
    0.67
     agre
    0.65
     warr
    0.65
    all
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.