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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. 2-RES-JB
    11. 18618
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    Explanations

    keywords related to hospital wards and healthcare settings

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of wards, particularly in medical or organizational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¤
    -0.90
    pmwiki
    -0.80
    ãĥĪ
    -0.77
    istine
    -0.72
    kered
    -0.71
    KEN
    -0.70
    avez
    -0.69
    Ô
    -0.68
    Bon
    -0.67
    pheus
    -0.66
    POSITIVE LOGITS
    robe
    1.08
     ward
    1.00
    room
    0.98
    masters
    0.84
    rooms
    0.84
    ring
    0.83
     wards
    0.81
    wick
    0.79
    nton
    0.78
    pole
    0.77
    Activations Density 0.004%

    No Known Activations