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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. 28
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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
    gal
    -0.75
    luck
    -0.71
    zona
    -0.70
    mberg
    -0.69
    naire
    -0.69
    lich
    -0.69
    zbek
    -0.68
    nis
    -0.68
    onym
    -0.68
    uch
    -0.68
    POSITIVE LOGITS
     orbiting
    0.63
     junction
    0.62
    velength
    0.60
     Syndicate
    0.59
     Freeman
    0.58
    otiation
    0.58
    MSN
    0.58
    orship
    0.58
    ully
    0.58
     fracking
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.