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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8416
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    Explanations

    terms related to mortality, especially premature mortality and cardiovascular mortality

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mortality statistics and risks

    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
    anooga
    -0.93
    iance
    -0.74
    HCR
    -0.67
    bley
    -0.66
    umen
    -0.64
    ivas
    -0.64
    isance
    -0.64
    ouring
    -0.63
    kef
    -0.63
    hedral
    -0.62
    POSITIVE LOGITS
     Inher
    0.75
     coroner
    0.74
    ufact
    0.72
     inquest
    0.67
     Sharks
    0.65
    lla
    0.64
     expectancy
    0.64
    NING
    0.64
     Canaver
    0.63
    ALS
    0.63
    Activations Density 0.083%

    No Known Activations