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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. 14427
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    Explanations

    phrases related to healthcare, specifically the Centers for Disease Control and Prevention

    oai_token-act-pair · gpt-3.5-turbo

    mentions of health organizations and related institutions

    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
    jen
    -0.73
    bub
    -0.70
    jl
    -0.69
    amaru
    -0.66
    AU
    -0.63
    ebook
    -0.62
    bery
    -0.62
    sticks
    -0.61
    adding
    -0.60
     quart
    -0.60
    POSITIVE LOGITS
     Outbreak
    0.98
     Control
    0.86
     Disease
    0.85
     Identification
    0.84
     Prevention
    0.79
     Epidem
    0.77
    Health
    0.75
     Health
    0.75
     prevention
    0.73
     Immun
    0.72
    Activations Density 0.031%

    No Known Activations