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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. 9-RES-JB
    11. 6870
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    issues related to socio-economic challenges and disparities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivalent
    -0.73
    idan
    -0.73
    redd
    -0.72
    eger
    -0.71
    cloneembedreportprint
    -0.69
    gall
    -0.68
    tesy
    -0.67
    vised
    -0.67
    vertising
    -0.66
     pione
    -0.66
    POSITIVE LOGITS
     THERE
    0.84
     Judges
    0.80
     landlords
    0.79
     Lastly
    0.76
     Journalists
    0.75
     there
    0.75
     etc
    0.73
     Governments
    0.72
     councils
    0.70
     Communities
    0.70
    Activations Density 0.397%

    No Known Activations