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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 23116
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    Explanations

    locations or events related to specific cities or towns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Charlottesville and related significant events or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lev
    -0.84
    reason
    -0.84
    ever
    -0.81
    berman
    -0.78
    missions
    -0.75
    VIS
    -0.74
    bid
    -0.73
    pring
    -0.72
    organ
    -0.71
    try
    -0.71
    POSITIVE LOGITS
    ottesville
    1.29
     Charlottesville
    1.02
    sburg
    0.87
    halla
    0.86
    quished
    0.81
     Canaver
    0.77
    querque
    0.74
    enburg
    0.71
     Crusade
    0.71
     Canter
    0.69
    Activations Density 0.008%

    No Known Activations