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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. 11-RES-JB
    11. 191
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    INDEX
    Explanations

    words related to health conditions, diseases, and medical terms

    oai_token-act-pair · gpt-3.5-turbo

    health-related risks and associations with various diseases

    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
    selage
    -0.70
    raphics
    -0.69
     tug
    -0.65
     scoop
    -0.65
    abase
    -0.64
    ãĤ±
    -0.64
    isl
    -0.64
    ãĥ£
    -0.63
    felt
    -0.62
    ãĥ³ãĤ¸
    -0.62
    POSITIVE LOGITS
     mell
    0.97
     mortality
    0.94
     symptoms
    0.93
     Symptoms
    0.92
     outcomes
    0.91
     syndrome
    0.89
     progression
    0.88
     susceptibility
    0.88
     ().
    0.87
     disorders
    0.87
    Activations Density 0.219%

    No Known Activations