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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10673
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    Explanations

    references to concentration levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewInit
    -0.67
    ftagPool
    -0.63
    WebServlet
    -0.59
     indisponible
    -0.57
     onCreateView
    -0.57
     Roskov
    -0.56
    enumii
    -0.55
    pleft
    -0.54
     retrô
    -0.54
     ब्रेकडाउन
    -0.52
    POSITIVE LOGITS
     concentration
    1.30
     Concentration
    1.12
    Concentration
    1.05
     concentrations
    0.98
    concentration
    0.97
     priority
    0.90
     prayer
    0.84
     Concentrations
    0.84
     concentración
    0.81
     prayers
    0.78
    Activations Density 0.053%

    No Known Activations