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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. 1830
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    Explanations

    names of ships and naval vessels

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

    Ship names or vessel names

    np_acts-logits-general · gemini-2.0-flash

    ships and naval vessels

    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
     marina
    -0.60
    onedDateTime
    -0.60
     marinas
    -0.58
    Hozzáférés
    -0.58
    IMPORTED
    -0.51
     portu
    -0.50
    Hochspringen
    -0.50
     MARINE
    -0.50
     ashore
    -0.49
    providedIn
    -0.48
    POSITIVE LOGITS
    SequentialGroup
    0.66
     باخ
    0.56
     @"/
    0.55
    scho
    0.55
    ']))
    0.54
     vessel
    0.53
     flagship
    0.53
     carrier
    0.53
     MS
    0.53
    MIDDLEWARE
    0.52
    Activations Density 0.138%

    No Known Activations