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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. 2-RES-JB
    11. 7859
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    Explanations

    terms related to medical conditions, specifically cancer

    oai_token-act-pair · gpt-3.5-turbo

    references to cancer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.81
    BOOK
    -0.80
     Helpful
    -0.74
    worldly
    -0.73
    ership
    -0.70
    ndra
    -0.70
    rish
    -0.70
    arta
    -0.68
    assian
    -0.67
     Enlight
    -0.67
    POSITIVE LOGITS
     cancer
    1.22
    cancer
    1.10
     metast
    0.93
    ous
    0.92
     cancers
    0.92
     Cancer
    0.90
     carcin
    0.87
     chemotherapy
    0.87
     tumors
    0.84
     leukemia
    0.84
    Activations Density 0.015%

    No Known Activations