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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9131
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    Explanations

    specific types of military vehicles, particularly missiles

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

    Preceding verbs or commas

    np_acts-logits-general · gemini-2.0-flash

    past tense verbs before past participles or past tense verbs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.56
    WindowConstants
    -0.56
    esgue
    -0.55
     مشين
    -0.53
     antichi
    -0.53
     useEffect
    -0.50
     ||=
    -0.50
     CURIAM
    -0.48
    dith
    -0.48
     Bioaccumulative
    -0.48
    POSITIVE LOGITS
    SourceChecksum
    0.84
     prototypes
    0.77
     prototype
    0.75
     deliveries
    0.75
     variants
    0.70
     production
    0.69
     design
    0.69
     Serien
    0.68
     modifications
    0.68
     serien
    0.67
    Activations Density 0.317%

    No Known Activations