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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. 9-RES-JB
    11. 19731
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    Explanations

    words related to diseases, infections, and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to infectious diseases and their transmission methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.95
    cknow
    -0.93
    ĸļ
    -0.87
    soDeliveryDate
    -0.86
    HUD
    -0.81
    selage
    -0.79
    itures
    -0.75
    )=(
    -0.75
    cean
    -0.74
    Reviewer
    -0.73
    POSITIVE LOGITS
     infection
    1.75
     virus
    1.73
     infections
    1.67
     bacteria
    1.59
     viruses
    1.58
     pathogens
    1.57
     bacter
    1.50
     toxin
    1.48
     Virus
    1.46
     disease
    1.46
    Activations Density 0.301%

    No Known Activations