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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. 40786
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    Explanations

    proper nouns related to sports teams and players

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

    football team names

    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
     kambing
    -0.44
     silvestre
    -0.41
    nemer
    -0.40
     pop
    -0.40
    letterSpacing
    -0.38
    æv
    -0.37
     Stich
    -0.37
    ierungs
    -0.37
     antidesliz
    -0.36
     portátil
    -0.36
    POSITIVE LOGITS
     Beijing
    0.55
    CloseOperation
    0.54
    ########.
    0.53
    səhifə
    0.52
     Numerade
    0.52
     London
    0.52
     SwitchCompat
    0.52
    PyExc
    0.52
     Италијани
    0.51
     Cairo
    0.50
    Activations Density 0.014%

    No Known Activations