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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. 8-RES-JB
    11. 22396
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    Explanations

    names of locations or institutions related to a specific city (Baltimore) and its sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Baltimore and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -1.01
    uador
    -0.88
    mble
    -0.85
    ngth
    -0.76
    aterasu
    -0.75
    utterstock
    -0.75
    pter
    -0.74
    aeda
    -0.74
    PsyNetMessage
    -0.69
    auri
    -0.68
    POSITIVE LOGITS
     Orioles
    1.17
     Ravens
    1.02
     City
    0.89
     County
    0.86
     Colts
    0.85
     Heights
    0.84
     Wire
    0.84
     Harbor
    0.78
     Yards
    0.77
     Hopkins
    0.74
    Activations Density 0.025%

    No Known Activations