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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. 9-RES-JB
    6. 20360
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    Explanations

    medical conditions and related terms, particularly focused on diseases and disorders

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of medical terms related to various diseases and conditions

    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
    soDeliveryDate
    -0.94
    displayText
    -0.83
    Lago
    -0.75
    selage
    -0.73
    saf
    -0.72
    Reward
    -0.72
    isSpecialOrderable
    -0.71
     Mahjong
    -0.70
     Catalog
    -0.69
    thouse
    -0.69
    POSITIVE LOGITS
     disease
    1.48
     disorders
    1.45
     diseases
    1.45
     pneumonia
    1.41
     illness
    1.41
     syndrome
    1.36
     sclerosis
    1.32
     Syndrome
    1.32
     illnesses
    1.32
     dementia
    1.31
    Activations Density 0.242%

    No Known Activations