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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2160
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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
     Reloaded
    -0.76
    zl
    -0.70
    tons
    -0.65
     Logged
    -0.64
    eva
    -0.63
     sidx
    -0.62
     alike
    -0.62
    Reviewed
    -0.62
     adv
    -0.61
     Ju
    -0.61
    POSITIVE LOGITS
    thood
    0.70
    hhhh
    0.68
    umber
    0.63
    cgi
    0.63
    oston
    0.62
    ecycle
    0.62
    bps
    0.60
    thur
    0.60
    ching
    0.60
    ¹
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.