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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. 0-RES-JB
    11. 18811
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    packed
    -0.80
    cling
    -0.70
    rules
    -0.67
    odan
    -0.65
    lam
    -0.64
     arom
    -0.64
    lake
    -0.63
    amy
    -0.63
    held
    -0.63
    phen
    -0.62
    POSITIVE LOGITS
     Shade
    0.77
    ILLE
    0.70
    REC
    0.69
    \\\\\\\\\\\\\\\\
    0.68
    IAL
    0.67
     Defin
    0.67
    ISON
    0.66
    GBT
    0.66
     blindness
    0.65
    BU
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.