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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 5898
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    Explanations

    references to beaches and seaside activities

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

    beach, ocean, seaside

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pisah
    -0.43
    ográficas
    -0.43
     Wort
    -0.42
    umper
    -0.39
     disel
    -0.39
    obis
    -0.39
    KER
    -0.39
    TabItem
    -0.39
    ibold
    -0.39
    adat
    -0.38
    POSITIVE LOGITS
     beach
    0.77
    🏖
    0.73
    beach
    0.71
     seaside
    0.70
     Beach
    0.70
     beachfront
    0.70
    Beach
    0.68
     beaches
    0.66
     BEACH
    0.65
     seashore
    0.63
    Activations Density 0.046%

    No Known Activations