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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. 2761
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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
     ado
    -0.85
    åħī
    -0.71
     Warfare
    -0.71
     Wr
    -0.68
     laun
    -0.67
     Printing
    -0.66
    76561
    -0.66
    icus
    -0.66
     hereafter
    -0.65
     supplement
    -0.64
    POSITIVE LOGITS
    lot
    0.87
    dden
    0.84
    fat
    0.77
    rals
    0.74
    bell
    0.71
    lain
    0.71
    argument
    0.70
    factor
    0.68
    stroke
    0.67
    unders
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.