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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. 3-RES-JB
    6. 2709
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    Explanations

    references to geographical locations, specifically focusing on the American Southwest

    oai_token-act-pair · gpt-3.5-turbo

    references to the Southwest region

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.92
    thood
    -0.78
    ãĥīãĥ©
    -0.75
    chy
    -0.69
    jury
    -0.69
    prus
    -0.68
    sei
    -0.68
    uked
    -0.68
    inen
    -0.67
    umen
    -0.67
    POSITIVE LOGITS
     Airlines
    1.11
     Southwest
    1.00
     Corridor
    0.97
     Passage
    0.88
    west
    0.83
     Grill
    0.82
     Regional
    0.81
     Railroad
    0.79
     Delta
    0.78
     Sahara
    0.77
    Activations Density 0.008%

    No Known Activations