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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1938
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    INDEX
    Explanations

    references to high levels or intensities, particularly in relation to quality or performance

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

    "high" followed by a school setting

    np_acts-logits-general · gemini-2.0-flash

    high school or high level

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interopRequire
    -0.59
    AnchorStyles
    -0.56
     extranjeros
    -0.55
    DebuggerNonUser
    -0.53
    oltre
    -0.53
     coupable
    -0.52
     extranjera
    -0.52
    antaine
    -0.51
    ècie
    -0.51
    wort
    -0.50
    POSITIVE LOGITS
    lighed
    0.69
     school
    0.68
     profile
    0.68
    lighting
    0.65
    lighted
    0.64
     altitude
    0.63
     High
    0.62
     octane
    0.62
    IntoConstraints
    0.61
     quality
    0.61
    Activations Density 0.183%

    No Known Activations