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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. 11-RES-JB
    11. 3875
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    Explanations

    terms related to medical conditions, specifically cancer

    oai_token-act-pair · gpt-3.5-turbo

    references to cancer and related medical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stanbul
    -0.85
    BOOK
    -0.78
    loo
    -0.73
     Nielsen
    -0.71
    assy
    -0.69
    rish
    -0.68
     Polk
    -0.68
    balance
    -0.67
    lay
    -0.66
    theless
    -0.66
    POSITIVE LOGITS
    ous
    1.38
     diagnosis
    1.19
     metast
    1.14
     chemotherapy
    1.10
     diagnoses
    1.03
     cancer
    1.02
     tumors
    1.02
     survivor
    1.01
    oma
    0.99
     screenings
    0.98
    Activations Density 0.038%

    No Known Activations