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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 11877
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    terms related to kidney health and disease

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.51
     }{@
    -0.48
     lenker
    -0.47
     مرئيه
    -0.44
    LabelTagHelper
    -0.44
     ModelExpression
    -0.43
    CPT
    -0.42
    CIV
    -0.42
    }],
    -0.42
     betweenstory
    -0.41
    POSITIVE LOGITS
     kidney
    0.92
     Kidney
    0.81
     renal
    0.80
     kidneys
    0.77
    Kidney
    0.73
     Renal
    0.71
    oneph
    0.69
     nephro
    0.67
     neph
    0.63
    腎
    0.61
    Activations Density 0.433%

    No Known Activations