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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. 7-RES-JB
    6. 1250
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    Explanations

    mentions of metropolitan areas

    oai_token-act-pair · gpt-3.5-turbo

    references to metropolitan areas or urban settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uous
    -0.76
    roma
    -0.75
     Inher
    -0.72
    ayn
    -0.71
    istry
    -0.69
    essee
    -0.68
    icate
    -0.68
    arna
    -0.68
    icious
    -0.68
    oti
    -0.67
    POSITIVE LOGITS
    plex
    0.98
     area
    0.90
     metropolitan
    0.89
    econom
    0.83
     metro
    0.82
    ropolitan
    0.76
     areas
    0.75
     Manila
    0.75
     tracts
    0.75
     region
    0.72
    Activations Density 0.017%

    No Known Activations