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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. 7-RES-JB
    11. 7291
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.70
    naire
    -0.66
     Patri
    -0.62
    uku
    -0.61
     Hann
    -0.61
     Galile
    -0.61
     Fathers
    -0.60
     Sho
    -0.60
    naires
    -0.59
     Pharaoh
    -0.59
    POSITIVE LOGITS
     nor
    0.82
     unless
    0.73
     redistributed
    0.73
     Printed
    0.71
     WITHOUT
    0.69
    lish
    0.68
     anymore
    0.67
    Unless
    0.67
    content
    0.66
     CLSID
    0.66
    Activations Density 0.043%

    No Known Activations