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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. 9837
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    Explanations

    specific details about rare vehicles and their attributes

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

    scarcity or limited production

    np_acts-logits-general · gemini-2.0-flash

    rare items

    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
     doInBackground
    -0.58
     TeV
    -0.54
     preparazione
    -0.53
     humain
    -0.51
    ukunfts
    -0.51
     temporaire
    -0.51
     prévention
    -0.51
     provinsi
    -0.50
    ednesdays
    -0.50
    glLoadIdentity
    -0.49
    POSITIVE LOGITS
     rarity
    0.97
     rarest
    0.96
     vintage
    0.94
     rarer
    0.93
     originals
    0.92
     rare
    0.88
     original
    0.87
     collectors
    0.85
     early
    0.83
     postwar
    0.82
    Activations Density 0.197%

    No Known Activations