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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. 2-RES-JB
    11. 15778
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    Explanations

    specific institutions or organizations related to business, education, politics, and research

    oai_token-act-pair · gpt-3.5-turbo

    references to specific educational institutions and influential figures

    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
    uel
    -0.82
    swing
    -0.80
    gers
    -0.72
    gie
    -0.69
    matter
    -0.69
    guide
    -0.68
    venge
    -0.68
    rx
    -0.68
    gger
    -0.67
    edit
    -0.66
    POSITIVE LOGITS
    negie
    1.35
     Mellon
    1.28
     Institution
    1.15
     Carnegie
    1.09
    kefeller
    0.90
     tremend
    0.78
     mosqu
    0.77
    isi
    0.75
     horizont
    0.73
     institution
    0.72
    Activations Density 0.007%

    No Known Activations