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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. 35102
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    Explanations

    references to popular culture and character interactions in storytelling

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

    vampire and Twilight

    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
     textStatus
    -0.42
    AnimationsModule
    -0.41
    ContentAsync
    -0.41
    featureID
    -0.39
    DebuggerNonUser
    -0.37
     vacacionales
    -0.36
     ingeniería
    -0.36
    __':
    -0.35
    exitRule
    -0.35
    iciais
    -0.35
    POSITIVE LOGITS
     vampire
    0.90
     Twilight
    0.90
    Twilight
    0.82
    vampire
    0.79
     vampires
    0.76
     twilight
    0.72
     Cullen
    0.69
     Vampire
    0.69
     vamp
    0.68
     Edward
    0.64
    Activations Density 0.042%

    No Known Activations