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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24567
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    Explanations

    words related to entering a particular location or field, such as entering politics, a country, a business, or an organization

    oai_token-act-pair · gpt-3.5-turbo

    references to political contexts and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Poles
    -0.62
     inclusion
    -0.61
    idth
    -0.61
     Swed
    -0.57
    orsi
    -0.56
     commenter
    -0.56
     POV
    -0.56
     divergence
    -0.55
     Polish
    -0.54
     penet
    -0.54
    POSITIVE LOGITS
     fray
    0.88
     illegally
    0.76
    nas
    0.72
    hess
    0.72
     premises
    0.70
     voluntarily
    0.69
    wagon
    0.68
    illery
    0.67
     kitchens
    0.66
    una
    0.66
    Activations Density 0.680%

    No Known Activations