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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16811
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    INDEX
    Explanations

    words related to medical professionals, particularly veterinarians and doctors

    oai_token-act-pair · gpt-3.5-turbo

    references to veterinary and medical professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.95
    uble
    -0.81
     Territories
    -0.75
     Strongh
    -0.73
     Stronghold
    -0.72
    utenberg
    -0.71
    atan
    -0.68
    auri
    -0.65
     Underworld
    -0.63
     Dwar
    -0.63
    POSITIVE LOGITS
     examiner
    1.08
     practitioner
    1.02
     psychiatrist
    0.99
     doctor
    0.97
     physician
    0.94
     clinic
    0.93
     supervision
    0.92
     diagnoses
    0.92
    autions
    0.88
    diagn
    0.87
    Activations Density 0.098%

    No Known Activations