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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. 9990
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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
    loop
    -0.72
    aney
    -0.70
    dimension
    -0.70
    aughtered
    -0.67
    arta
    -0.67
     Accessed
    -0.66
    bender
    -0.66
    Runner
    -0.66
    accessible
    -0.66
    footed
    -0.65
    POSITIVE LOGITS
     confidentiality
    0.80
     vit
    0.78
     stopp
    0.67
    ocard
    0.66
     Jian
    0.66
    itionally
    0.65
     briefs
    0.65
     confidential
    0.64
    atories
    0.63
     cooling
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.