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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. 12374
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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
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    No Comments

    Negative Logits
    zza
    -0.74
    oute
    -0.71
     Rivers
    -0.70
    ients
    -0.65
    llah
    -0.65
     Vaughan
    -0.64
     pse
    -0.64
     defeats
    -0.63
    iott
    -0.62
     averaging
    -0.62
    POSITIVE LOGITS
    soDeliveryDate
    0.88
    rust
    0.82
    nuts
    0.74
    asonic
    0.74
    unta
    0.73
    isters
    0.71
    dam
    0.70
     wig
    0.69
    wear
    0.68
    oks
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.