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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. 1-RES-JB
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    Explanations

    mentions of medical clinics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of healthcare clinics and related facilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DIV
    -0.76
    External
    -0.73
    rising
    -0.70
    lust
    -0.70
    reek
    -0.68
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.68
    Topics
    -0.67
    sum
    -0.67
    Oak
    -0.66
    ectar
    -0.66
    POSITIVE LOGITS
     clinics
    1.23
     clinic
    1.12
     Clinic
    1.10
     screenings
    0.81
    istry
    0.79
    ilitating
    0.76
     kios
    0.75
     Patients
    0.74
     attendants
    0.74
     pharmacies
    0.72
    Activations Density 0.008%

    No Known Activations