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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. 7283
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    Explanations

    mentions of geographical locations - specifically, the University of Waikato

    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
    sis
    -0.79
    displayText
    -0.77
    regor
    -0.75
    lio
    -0.75
    urated
    -0.72
    omez
    -0.70
    rations
    -0.69
    erous
    -0.69
    hetti
    -0.68
    hematically
    -0.67
    POSITIVE LOGITS
    velength
    1.58
    ibel
    0.94
    apon
    0.89
    iting
    0.87
    ibling
    0.87
    orthy
    0.85
    uble
    0.84
    ILA
    0.84
    heed
    0.83
    aii
    0.83
    Activations Density 0.035%

    No Known Activations