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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. 7-RES-JB
    11. 2712
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    Explanations

    terms related to medical conditions and treatments, specifically focusing on tumors

    oai_token-act-pair · gpt-3.5-turbo

    references to tumors and their implications in medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.90
    ersive
    -0.87
    sers
    -0.82
    maid
    -0.77
    ersion
    -0.77
    ership
    -0.76
    ord
    -0.75
    zech
    -0.73
    soDeliveryDate
    -0.73
    uty
    -0.71
    POSITIVE LOGITS
     tumors
    1.11
     tumor
    1.09
     prostate
    0.95
     cancer
    0.95
     metast
    0.89
     cancers
    0.85
     tum
    0.85
     Cancer
    0.85
    igen
    0.84
     Canaver
    0.82
    Activations Density 0.021%

    No Known Activations