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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. 4-RES-JB
    11. 18391
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    INDEX
    Explanations

    mentions of factors or behaviors related to increased mortality risk

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to mortality rates

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

    No Comments

    Negative Logits
    kef
    -0.92
    xxxxxxxx
    -0.74
    enegger
    -0.72
    Cola
    -0.72
    ube
    -0.71
    Pic
    -0.70
    quart
    -0.69
    wcsstore
    -0.68
    Oracle
    -0.67
    KER
    -0.67
    POSITIVE LOGITS
     mortality
    0.99
     contag
    0.95
     regress
    0.91
     prevention
    0.86
     expectancy
    0.84
     sickness
    0.79
    icide
    0.79
    icides
    0.78
     rates
    0.77
     propensity
    0.75
    Activations Density 0.019%

    No Known Activations