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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. 10-RES-JB
    11. 8456
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    words related to controversies surrounding genetically modified organisms (GMOs) and vaccines

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Corker
    -0.74
    anooga
    -0.74
     Caldwell
    -0.73
    iggurat
    -0.73
    estamp
    -0.71
    auga
    -0.71
    ulty
    -0.71
    lehem
    -0.70
    Lenin
    -0.70
    adders
    -0.69
    POSITIVE LOGITS
     FDA
    1.77
     GMO
    1.63
     GMOs
    1.60
     vaccines
    1.52
     pesticide
    1.49
     pesticides
    1.48
     carcin
    1.46
     glyphosate
    1.45
     vaccine
    1.44
     pharmaceutical
    1.40
    Activations Density 0.601%

    No Known Activations