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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11246
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    Explanations

    terms related to measurements of obesity and body fat distribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    semin
    -0.53
    󠁴
    -0.51
    LabelTagHelper
    -0.51
     carab
    -0.49
     ſtate
    -0.48
     feas
    -0.46
     semif
    -0.46
    shel
    -0.46
    lorus
    -0.46
     biologic
    -0.46
    POSITIVE LOGITS
     predominance
    0.63
     predominantly
    0.59
     énfasis
    0.54
     Schwerpunkt
    0.53
     Emphasis
    0.52
     preference
    0.50
     emphasis
    0.50
     primarily
    0.50
     principally
    0.49
     preferencias
    0.49
    Activations Density 1.156%

    No Known Activations