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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. 17354
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    INDEX
    Explanations

    references to a popular sports team

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams or sports-related content

    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
    ples
    -0.68
    birth
    -0.64
    voc
    -0.64
     acquisition
    -0.63
     Goat
    -0.63
     cour
    -0.63
     mast
    -0.63
     engineering
    -0.62
     headache
    -0.62
    phas
    -0.61
    POSITIVE LOGITS
    lahoma
    0.88
    warm
    0.87
    aunder
    0.87
    hift
    0.85
    oks
    0.82
    andi
    0.82
    stown
    0.81
    andr
    0.79
    ettings
    0.79
    chens
    0.78
    Activations Density 0.011%

    No Known Activations