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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. 3126
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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
    Not in Any Lists

    No Comments

    Negative Logits
    velt
    -0.94
     Regions
    -0.83
     Rooms
    -0.81
     Roads
    -0.75
    itiveness
    -0.71
     Society
    -0.71
    ousy
    -0.70
    iquette
    -0.69
     leaflets
    -0.69
     Streets
    -0.68
    POSITIVE LOGITS
     vested
    0.68
     streng
    0.62
     deaf
    0.62
    aged
    0.62
     hiber
    0.62
     Michaels
    0.62
     sled
    0.60
     swallowed
    0.60
    pron
    0.60
     knit
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.