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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. 9759
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    INDEX
    Explanations

    locations or areas within a city, particularly focusing on downtown areas

    oai_token-act-pair · gpt-3.5-turbo

    references to downtown areas

    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
    ktop
    -0.89
    uid
    -0.85
    nir
    -0.79
    nikov
    -0.77
    alys
    -0.77
    aye
    -0.76
    uth
    -0.75
    laughter
    -0.75
    nell
    -0.71
    ula
    -0.71
    POSITIVE LOGITS
     Oakland
    1.01
     Denver
    0.99
     Manhattan
    0.98
     Seattle
    0.96
     Honolulu
    0.96
     Toronto
    0.95
     Raleigh
    0.94
     Vancouver
    0.94
     Los
    0.93
     Winnipeg
    0.92
    Activations Density 0.027%

    No Known Activations