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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. 8-RES-JB
    11. 2389
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    INDEX
    Explanations

    mentions of diseases and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to infectious diseases and their spread

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.97
    ĸļ
    -0.96
    endars
    -0.83
    itures
    -0.82
    cknow
    -0.82
    cean
    -0.78
    eton
    -0.76
    raise
    -0.75
    ruary
    -0.70
    astery
    -0.69
    POSITIVE LOGITS
     pathogens
    1.37
     malware
    1.36
     virus
    1.31
     terrorists
    1.29
     infection
    1.28
     toxins
    1.26
     tuberculosis
    1.25
     viruses
    1.25
     toxin
    1.20
     infectious
    1.19
    Activations Density 1.036%

    No Known Activations