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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. 10280
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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
     Jindal
    -0.72
     Enlight
    -0.70
    ateurs
    -0.70
     Demons
    -0.66
     Prem
    -0.65
     Hait
    -0.63
     Jou
    -0.62
     Racer
    -0.62
     François
    -0.61
     Jeanne
    -0.61
    POSITIVE LOGITS
    nown
    0.99
    ramid
    0.84
    ibrary
    0.78
    coe
    0.78
     grounds
    0.76
    EStream
    0.73
    cens
    0.73
    GROUND
    0.68
    intendent
    0.67
    owan
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.