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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 16589
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    Explanations

    references to brands or marques, particularly in the context of automotive or product names

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

    Marquette, Marquez

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Versorgung
    -0.45
     pyridine
    -0.40
     pipes
    -0.39
     Sonne
    -0.39
    帖最后由
    -0.38
     computa
    -0.38
    nein
    -0.37
    signable
    -0.37
    gebob
    -0.36
    anmoins
    -0.36
    POSITIVE LOGITS
     Marque
    1.38
     marca
    1.38
     marque
    1.33
     marqu
    1.30
    Marca
    1.25
     Marqu
    1.22
    marca
    1.22
     Marca
    1.20
     marques
    1.17
     Marquis
    1.16
    Activations Density 0.004%

    No Known Activations