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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. 3028
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    Explanations

    references to specific high-performance vehicles, particularly muscle cars

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

    Hemi 'Cuda engine displacements

    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
    fjspx
    -0.48
     inline
    -0.44
     Inline
    -0.40
    inline
    -0.39
     TextInputType
    -0.39
    INLINE
    -0.37
    Precis
    -0.36
     ceinture
    -0.36
    pholes
    -0.36
    férés
    -0.35
    POSITIVE LOGITS
    ########.
    0.56
     OFDb
    0.45
     Kraw
    0.43
    InitVars
    0.41
    حياته
    0.41
     Lasse
    0.40
    featureID
    0.40
     disponibilités
    0.40
    NgModule
    0.39
    writeField
    0.39
    Activations Density 0.026%

    No Known Activations