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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. 6-RES-JB
    6. 9388
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    Explanations

    potential medical conditions, specifically cancer

    oai_token-act-pair · gpt-3.5-turbo

    references to cancer and related medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stanbul
    -0.78
    rish
    -0.77
    BOOK
    -0.77
    worldly
    -0.76
     Polk
    -0.70
    ership
    -0.69
    ollower
    -0.69
    lihood
    -0.68
     Helpful
    -0.67
    laus
    -0.67
    POSITIVE LOGITS
     cancer
    1.15
    ous
    1.14
    cancer
    1.12
     metast
    1.07
     chemotherapy
    0.94
     screenings
    0.90
     tumors
    0.89
     cancers
    0.88
     Cancer
    0.85
     leukemia
    0.85
    Activations Density 0.025%

    No Known Activations