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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 13449
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    Explanations

    references to outdoor spaces and activities, particularly those involving parks and picnicking

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

    sitting or resting

    np_acts-logits-general · gemini-2.0-flash

    seating and sitting areas

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    玄関
    -0.43
    ahkan
    -0.43
     élevées
    -0.41
    동
    -0.40
    utm
    -0.40
    gean
    -0.40
    ticale
    -0.39
    门
    -0.39
    mana
    -0.39
     门
    -0.38
    POSITIVE LOGITS
     seating
    1.61
     benches
    1.53
     seats
    1.37
     Seating
    1.35
     sitting
    1.33
     seat
    1.32
    sitting
    1.31
     chairs
    1.28
     bench
    1.27
     seated
    1.23
    Activations Density 0.149%

    No Known Activations