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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. 9477
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    INDEX
    Explanations

    phrases related to competition and performance in sports

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

    competition or goals

    np_acts-logits-general · gemini-2.0-flash

    aiming for goals

    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
    échelle
    -0.42
    AutoModerator
    -0.42
     génie
    -0.41
     chanteur
    -0.41
    entretien
    -0.40
    humidité
    -0.40
    ：“……”
    -0.40
    각주
    -0.40
     выну
    -0.39
     destrucción
    -0.39
    POSITIVE LOGITS
    RegistryLite
    0.63
     aiming
    0.54
     attainable
    0.53
     goals
    0.52
     aims
    0.51
     goal
    0.50
     AspNetCore
    0.50
     aim
    0.49
     targets
    0.47
    目標
    0.47
    Activations Density 0.116%

    No Known Activations