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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10581
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    Explanations

    specific achievements and milestones in professional sports careers and related accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    followed by "in", "at", or "with"

    np_acts-logits-general · gemini-2.0-flash

    respectively, successively, with specific entities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prêtres
    -0.48
     irgende
    -0.44
     prisonniers
    -0.40
     larmes
    -0.40
     modalités
    -0.39
     dintr
    -0.39
     dieux
    -0.38
    某种
    -0.38
     Grecs
    -0.38
     something
    -0.37
    POSITIVE LOGITS
    分別
    0.93
    分别
    0.91
     respectively
    0.90
    ConstraintMaker
    0.89
    分别是
    0.86
     respectivement
    0.83
    Datuak
    0.81
     Messrs
    0.79
     successively
    0.79
     versions
    0.78
    Activations Density 1.053%

    No Known Activations