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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    words related to geopolitical entities, particularly focusing on the country of Serbia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Serbia and related geopolitical entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Oak
    -0.85
     Lone
    -0.83
     Fu
    -0.77
     Ford
    -0.75
     lantern
    -0.75
     Chow
    -0.73
     Hay
    -0.71
     Gil
    -0.71
     Carrie
    -0.69
    Har
    -0.69
    POSITIVE LOGITS
     Serbia
    3.47
     Serbian
    3.24
     Croatia
    2.91
     Kosovo
    2.89
     Croatian
    2.81
     Yugoslavia
    2.77
     Yugoslav
    2.65
     Monteneg
    2.63
     Macedonia
    2.62
     Bosnia
    2.61
    Activations Density 0.030%

    No Known Activations