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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 12769
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earable
    -0.87
     Redux
    -0.74
    OPLE
    -0.63
     immersive
    -0.62
    INTER
    -0.62
    PROV
    -0.62
    ilitary
    -0.60
     minimize
    -0.60
     Orche
    -0.60
     Laugh
    -0.59
    POSITIVE LOGITS
    te
    1.15
     returns
    0.85
     return
    0.83
     Pwr
    0.80
    tes
    0.76
    cel
    0.70
    ness
    0.69
    nes
    0.69
    lio
    0.68
     Himself
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.