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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 3810
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    INDEX
    Explanations

    references to burning or flames

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

    "burning" or "burn."

    np_acts-logits-general · gemini-2.0-flash

    burning cash, villages, sensation, rate

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tsche
    -0.70
    /*
    -0.64
     خارجية
    -0.64
    BeforeEach
    -0.62
     InputDecoration
    -0.61
    Bronnen
    -0.60
     kasarigan
    -0.60
     EconPapers
    -0.59
    ChildScrollView
    -0.58
     gea
    -0.57
    POSITIVE LOGITS
     burning
    1.53
     burns
    1.47
     burn
    1.41
     Burning
    1.40
    burning
    1.38
     burned
    1.33
    Burning
    1.30
     Burn
    1.29
     BURN
    1.28
    Burn
    1.24
    Activations Density 0.215%

    No Known Activations