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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. 11-RES-JB
    6. 19568
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    Explanations

    words related to medical diseases or health conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to diseases and related health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.91
    assy
    -0.87
    )=(
    -0.74
    ilts
    -0.72
    raltar
    -0.71
    amera
    -0.71
    adesh
    -0.70
    lus
    -0.70
    eele
    -0.67
    attery
    -0.66
    POSITIVE LOGITS
     outbreak
    1.23
     outbreaks
    1.15
     Outbreak
    1.08
     diagnosis
    1.07
     plag
    1.02
     susceptibility
    1.02
     epidemic
    1.00
     prevalence
    0.99
     severity
    0.99
     symptoms
    0.98
    Activations Density 0.053%

    No Known Activations