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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. 4-RES-JB
    6. 2865
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    Explanations

    medical or health-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    medical conditions and symptoms related to health crises

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

    No Comments

    Negative Logits
     Historical
    -0.84
     Architects
    -0.83
    eous
    -0.80
     Democr
    -0.77
    Commerce
    -0.75
     Faction
    -0.71
     Noir
    -0.70
     Patri
    -0.70
    eq
    -0.70
     Flavoring
    -0.69
    POSITIVE LOGITS
     medication
    1.13
     anesthesia
    0.99
     medications
    0.97
    acid
    0.95
     morphine
    0.94
     detox
    0.93
     overdose
    0.92
     methamphetamine
    0.90
    ysis
    0.89
     pills
    0.87
    Activations Density 0.297%

    No Known Activations