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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. 14876
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    Explanations

    keywords related to medical conditions, specifically tumors

    oai_token-act-pair · gpt-3.5-turbo

    references to tumors and tumor-related terminology

    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
    ership
    -0.82
    BOOK
    -0.81
    sers
    -0.79
     Dragonbound
    -0.76
    Export
    -0.75
    ersive
    -0.75
    Unique
    -0.73
    Dub
    -0.71
    eff
    -0.71
    iPhone
    -0.69
    POSITIVE LOGITS
     tumor
    1.26
     tumors
    1.19
     metast
    0.97
     cancer
    0.92
    cancer
    0.85
     prostate
    0.85
     tum
    0.83
     cancers
    0.82
     gland
    0.79
     tissue
    0.77
    Activations Density 0.008%

    No Known Activations