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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. 8-RES-JB
    6. 15440
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    INDEX
    Explanations

    information related to health, particularly regarding potential hazards and deficiencies

    oai_token-act-pair · gpt-3.5-turbo

    periods and occurrences of advice or recommendations related to health and food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tenure
    -0.79
    mble
    -0.78
     footing
    -0.78
    itage
    -0.75
     delegated
    -0.73
    opolis
    -0.71
     reun
    -0.71
     planned
    -0.70
     forwarding
    -0.70
     liberty
    -0.69
    POSITIVE LOGITS
     Symptoms
    1.77
     Diseases
    1.29
     Researchers
    1.22
    ptoms
    1.20
     Scientists
    1.18
     Causes
    1.14
     Patients
    1.14
    Scientists
    1.11
     However
    1.09
    Researchers
    1.09
    Activations Density 0.532%

    No Known Activations