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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. 4294
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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
     Dorothy
    -0.79
    icol
    -0.72
     Mellon
    -0.69
    erville
    -0.69
     Clicker
    -0.65
     Helm
    -0.63
    ITION
    -0.63
     Torch
    -0.63
     Moment
    -0.63
     Liu
    -0.62
    POSITIVE LOGITS
    poll
    0.81
    casts
    0.75
    urst
    0.73
    emp
    0.71
    metry
    0.70
    ande
    0.69
    forward
    0.69
     polls
    0.68
    limits
    0.67
    ewitness
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.