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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. 2-RES-JB
    11. 5589
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.76
     DRAG
    -0.72
     momentum
    -0.72
     distractions
    -0.68
     intens
    -0.65
     incent
    -0.63
     slippery
    -0.63
     distraction
    -0.62
    ĪĴ
    -0.61
     Chern
    -0.61
    POSITIVE LOGITS
    Publisher
    0.81
    ague
    0.79
    pub
    0.76
    ND
    0.74
    riter
    0.71
    Crunch
    0.71
    raud
    0.70
    ño
    0.70
    older
    0.69
    rows
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.