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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
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    Explanations

    mentions of the Duke University

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Duke" and its variations

    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
    cells
    -0.67
    iped
    -0.65
    ãģĻ
    -0.65
    hedon
    -0.64
    rules
    -0.64
    ters
    -0.63
    sight
    -0.62
    sharing
    -0.61
    atican
    -0.60
    Relations
    -0.60
    POSITIVE LOGITS
    hyde
    1.08
     Duke
    0.82
    awei
    0.77
    halla
    0.76
     lac
    0.75
    ²¾
    0.74
    onna
    0.72
    ongyang
    0.71
    ministic
    0.70
     Bride
    0.69
    Activations Density 0.007%

    No Known Activations