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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 43063
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    INDEX
    Explanations

    relationships between learning methods and their performance metrics in various algorithms

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

    learning-based methods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Utf
    -0.44
    Utf
    -0.43
    kyo
    -0.43
    larged
    -0.43
    mtrl
    -0.42
    MAZ
    -0.41
     آذ
    -0.41
    MU
    -0.41
     Pere
    -0.41
     rusted
    -0.40
    POSITIVE LOGITS
     approaches
    1.20
     methods
    1.18
     techniques
    1.03
     méthodes
    0.98
     methodologies
    0.96
     Approaches
    0.94
     schemes
    0.93
     métodos
    0.92
     Methoden
    0.88
     Methods
    0.82
    Activations Density 0.463%

    No Known Activations