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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. 10-RES-JB
    6. 2135
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    Explanations

    specific references to the city of Detroit

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Detroit" and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    yip
    -0.93
    terday
    -0.85
    mble
    -0.85
    thood
    -0.83
    ylum
    -0.83
    xual
    -0.82
    creen
    -0.81
    ntil
    -0.80
     Seym
    -0.78
    cript
    -0.78
    POSITIVE LOGITS
     Pistons
    1.35
     Lions
    1.13
    shire
    1.13
     Tigers
    1.05
     Mercy
    0.95
     Township
    0.83
     Detroit
    0.81
    ford
    0.77
     Wolver
    0.75
    Detroit
    0.74
    Activations Density 0.031%

    No Known Activations