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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. 5706
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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
     sovere
    -0.80
    ilyn
    -0.77
    eworks
    -0.70
    rogens
    -0.69
    plot
    -0.67
     wrench
    -0.67
     ranc
    -0.67
    range
    -0.66
     consequential
    -0.66
    furt
    -0.66
    POSITIVE LOGITS
     Lauder
    0.87
     VIDEO
    0.79
     Benef
    0.73
    Interview
    0.72
    ________________________________________________________________
    0.71
     Photographer
    0.70
    Shin
    0.68
     Aware
    0.67
     PRESIDENT
    0.67
     Yon
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.