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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. 3-RES-JB
    11. 12997
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    Explanations

    proper nouns related to a specific city ("Baltimore")

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Baltimore

    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
    yip
    -0.91
    uador
    -0.83
    mble
    -0.82
    aeda
    -0.74
    andr
    -0.73
    byn
    -0.71
    chio
    -0.71
    utterstock
    -0.71
    BOOK
    -0.70
    =-=-=-=-
    -0.70
    POSITIVE LOGITS
     Orioles
    1.20
     Ravens
    0.97
     Colts
    0.91
     Baltimore
    0.86
    Baltimore
    0.85
     County
    0.82
     City
    0.77
     Wire
    0.76
     Hopkins
    0.75
     Township
    0.73
    Activations Density 0.009%

    No Known Activations