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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. 7-RES-JB
    11. 17838
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    INDEX
    Explanations

    mentions of research papers, studies, and evidence

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims regarding fear or anxiety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     «
    -0.72
     Nay
    -0.70
     ©
    -0.69
    Synopsis
    -0.64
     Released
    -0.64
    ,)
    -0.62
    ë
    -0.61
    ilan
    -0.60
    OIL
    -0.60
     Fey
    -0.59
    POSITIVE LOGITS
    entimes
    0.92
     [
    0.83
     incent
    0.81
     anecd
    0.77
    ecd
    0.70
    icularly
    0.69
     incentiv
    0.66
     tremendously
    0.66
    itionally
    0.66
    initely
    0.65
    Activations Density 0.699%

    No Known Activations