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

    mentions of the state of Maryland in text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Maryland and its related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.82
    BOOK
    -0.74
    xes
    -0.73
    ========
    -0.73
    ivot
    -0.71
    ridges
    -0.71
    ivas
    -0.70
    gered
    -0.70
    herer
    -0.70
    yip
    -0.70
    POSITIVE LOGITS
     Md
    1.01
     Maryland
    0.90
     Orioles
    0.79
     Tech
    0.73
     Madness
    0.73
     Consolid
    0.72
     Elk
    0.70
     County
    0.69
     Laurel
    0.69
     Slug
    0.68
    Activations Density 0.010%

    No Known Activations