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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. 11623
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    Explanations

    terms related to quality, effectiveness, and performance in various contexts

    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
    qxd
    -0.38
    -
    -0.38
    PathVariable
    -0.38
    enumi
    -0.37
    tagext
    -0.37
    mlx
    -0.37
    (
    -0.34
    lared
    -0.32
    destroyAll
    -0.32
    setRow
    -0.32
    POSITIVE LOGITS
    veness
    0.86
    terness
    0.82
    teness
    0.79
    lessness
    0.79
    queness
    0.79
    icity
    0.78
    yness
    0.78
     whiteness
    0.77
    mindedness
    0.76
    genicity
    0.76
    Activations Density 0.900%

    No Known Activations