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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 6-RES-JB
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    Explanations

    references to the city of New York

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "New York" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.85
    EMP
    -0.81
    TPP
    -0.80
    milo
    -0.77
    cius
    -0.76
    vol
    -0.74
    cend
    -0.73
    unct
    -0.70
    bably
    -0.70
    VPN
    -0.70
    POSITIVE LOGITS
     City
    1.31
     Mellon
    1.04
     Harbor
    1.03
     Times
    0.93
     State
    0.92
     Cosmos
    0.89
     Knicks
    0.87
     Giants
    0.87
     Yankees
    0.87
     Mets
    0.81
    Activations Density 0.038%

    No Known Activations