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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. 11-RES-JB
    11. 6574
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    Explanations

    terms related to healthcare, especially focusing on nursing homes

    oai_token-act-pair · gpt-3.5-turbo

    references to nursing and nurses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inations
    -0.97
    inates
    -0.79
    izons
    -0.79
    çīĪ
    -0.77
    gered
    -0.74
    ions
    -0.67
    âĸ¬
    -0.67
    é¾
    -0.65
     Noah
    -0.65
     Ramadan
    -0.64
    POSITIVE LOGITS
     practitioner
    1.40
    maid
    1.26
     practitioners
    0.98
     anesthesia
    0.94
     nurse
    0.90
     nursing
    0.88
     Canaver
    0.82
     nurses
    0.78
     Pract
    0.78
     patient
    0.78
    Activations Density 0.055%

    No Known Activations