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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. 10-RES-JB
    11. 8197
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    Explanations

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

    oai_token-act-pair · gpt-3.5-turbo

    references to tumors 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.98
    BOOK
    -0.81
    cean
    -0.80
    externalActionCode
    -0.80
    loo
    -0.79
    ãĤ±
    -0.76
     Dayton
    -0.72
     welf
    -0.72
    âĺħâĺħ
    -0.66
    ãĤ¢ãĥ«
    -0.66
    POSITIVE LOGITS
     lesions
    1.19
     tumors
    1.16
     tumor
    1.12
    ignant
    1.11
     gland
    1.05
     metast
    1.02
     tissue
    0.98
     pigment
    0.96
     inflammation
    0.94
    omas
    0.94
    Activations Density 0.084%

    No Known Activations