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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. 16735
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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
     Ft
    -0.73
     Yog
    -0.65
     twins
    -0.63
     WD
    -0.61
     Upton
    -0.61
     Atlanta
    -0.61
    itarian
    -0.60
    tml
    -0.60
    jay
    -0.59
     Rabbi
    -0.58
    POSITIVE LOGITS
    resso
    0.89
    romeda
    0.77
    ioch
    0.72
    aeda
    0.70
    ommel
    0.69
    essment
    0.67
    Scan
    0.67
    ãĤ½
    0.65
     resil
    0.65
    lements
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.