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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. 3-RES-JB
    11. 20994
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    Explanations

    details or mentions of physical health conditions, medical treatments, and emergencies

    oai_token-act-pair · gpt-3.5-turbo

    medical terminology related to injuries and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.95
    wcsstore
    -0.80
     Flavoring
    -0.78
    isSpecialOrderable
    -0.77
     Architects
    -0.74
    Publisher
    -0.73
    âĺħ
    -0.71
    soType
    -0.71
    Commerce
    -0.70
     Climate
    -0.69
    POSITIVE LOGITS
     injuries
    1.06
    ysis
    1.02
    letal
    0.91
     injured
    0.91
    rosis
    0.91
     decomp
    0.90
     injury
    0.89
     paramedics
    0.87
    jured
    0.87
     wounds
    0.86
    Activations Density 0.186%

    No Known Activations