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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. 12594
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    INDEX
    Explanations

    names or terms related to a geographical location, specifically "Akron 6"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific geographic 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
    jing
    -0.91
    eways
    -0.88
    ulla
    -0.85
    epad
    -0.83
    sf
    -0.82
    itors
    -0.79
    itism
    -0.77
    ades
    -0.73
    ittal
    -0.73
    icides
    -0.73
    POSITIVE LOGITS
     Buc
    0.78
    áµ
    0.76
    keye
    0.75
    olics
    0.73
     Ohio
    0.72
    keyes
    0.72
     Akron
    0.71
    mega
    0.70
     OH
    0.69
     Cavaliers
    0.68
    Activations Density 0.039%

    No Known Activations