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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10080
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    Explanations

    terms related to renal health and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceChecksum
    -0.50
    SPATH
    -0.42
    optionalTypeArgs
    -0.41
    utiva
    -0.40
    linde
    -0.40
     שוליים
    -0.39
     jsPsych
    -0.39
    idł
    -0.38
    XmlAccessorType
    -0.38
    gemeester
    -0.38
    POSITIVE LOGITS
     kidney
    1.28
     renal
    1.20
     dialysis
    1.20
     Kidney
    1.16
    Kidney
    1.13
     Renal
    1.11
     kidneys
    1.09
     nephro
    1.01
    Renal
    1.00
     glomer
    0.97
    Activations Density 0.743%

    No Known Activations