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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 6667
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    Explanations

    references to specific chemical compounds or terms in scientific contexts

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

    pant and pent prefixes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    󠁴
    -0.74
     nakalista
    -0.73
     initComponents
    -0.65
    +#+
    -0.59
    ftagPool
    -0.56
    SharedCtor
    -0.54
    didSet
    -0.52
    addGap
    -0.51
    󠁿
    -0.50
     مرئيه
    -0.49
    POSITIVE LOGITS
     Pant
    0.60
    Pant
    0.59
     Panto
    0.50
     pant
    0.50
     Pante
    0.40
     panto
    0.38
     Panther
    0.36
    новништво
    0.35
     Pants
    0.35
     Prat
    0.35
    Activations Density 0.008%

    No Known Activations