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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3674
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    Explanations

    terms related to effectiveness and efficiency in various contexts

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

    ending in "ective" or "tive"

    np_acts-logits-general · gemini-2.0-flash

    Effective March

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     étoit
    -0.64
    forhold
    -0.62
    ltä
    -0.60
     voici
    -0.60
     ThemeData
    -0.60
     pouvoit
    -0.60
     auroit
    -0.60
     Irán
    -0.60
     feroit
    -0.59
     humeur
    -0.59
    POSITIVE LOGITS
    ative
    0.67
    tive
    0.65
    ective
    0.59
    ffective
    0.59
    ctive
    0.58
    >')
    0.57
    ulative
    0.56
    active
    0.54
    IVE
    0.54
    isive
    0.54
    Activations Density 0.324%

    No Known Activations