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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14378
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    Explanations

    terms related to renal health and medical complications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    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
    -0.39
    gemeester
    -0.37
     rú
    -0.36
     Coleoptera
    -0.36
    endphp
    -0.35
    utiva
    -0.35
    XmlAccessorType
    -0.35
     HPV
    -0.35
     jsPsych
    -0.35
    }))
    -0.35
    POSITIVE LOGITS
     kidney
    1.27
     renal
    1.21
     Kidney
    1.14
     dialysis
    1.14
    Kidney
    1.11
     Renal
    1.11
     kidneys
    1.08
    Renal
    1.02
     Dial
    0.98
    腎
    0.97
    Activations Density 0.639%

    No Known Activations