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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. 22556
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    Explanations

    names of medical institutions

    oai_token-act-pair · gpt-3.5-turbo

    names of medical facilities and corporations

    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
    etric
    -0.73
    essee
    -0.71
    ions
    -0.71
    pipe
    -0.69
    hip
    -0.68
    etry
    -0.65
     Pagan
    -0.64
    driver
    -0.64
    hole
    -0.62
    etrical
    -0.61
    POSITIVE LOGITS
     Clinic
    0.86
     Cheong
    0.85
    llan
    0.76
    lov
    0.69
     Doodle
    0.69
     Lumpur
    0.67
    mberg
    0.66
    ERSON
    0.66
     Staples
    0.63
     McMahon
    0.63
    Activations Density 0.038%

    No Known Activations