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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. 10-RES-JB
    11. 5892
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    Explanations

    words related to medical professionals and healthcare settings

    oai_token-act-pair · gpt-3.5-turbo

    information related to healthcare services and patient care

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tag
    -0.89
    tags
    -0.83
     Strongh
    -0.80
    rake
    -0.75
    wagon
    -0.74
     secession
    -0.73
    Catalog
    -0.73
    Gamer
    -0.73
    idable
    -0.73
    wagen
    -0.72
    POSITIVE LOGITS
     physicians
    1.99
     patients
    1.97
     doctors
    1.93
     physician
    1.88
     Patients
    1.86
     Doctors
    1.82
     hospital
    1.81
     hospitals
    1.81
     patient
    1.80
     Physicians
    1.77
    Activations Density 0.962%

    No Known Activations