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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. 4-RES-JB
    11. 1135
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    keywords related to healthcare institutions like hospitals, colleges, universities

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals and colleges

    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
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    Negative Logits
    owder
    -0.69
     Islanders
    -0.64
     Disorder
    -0.63
    rawdownloadcloneembedreportprint
    -0.56
     disturbance
    -0.55
    Shock
    -0.55
    otos
    -0.54
    ifest
    -0.54
    Args
    -0.53
    sie
    -0.53
    POSITIVE LOGITS
    chool
    1.32
    afety
    1.04
    ystem
    1.04
    hips
    1.01
    mith
    1.01
    paces
    0.95
    hip
    0.93
    ettings
    0.92
    cale
    0.89
    earch
    0.88
    Activations Density 0.121%

    No Known Activations