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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 63338
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    INDEX
    Explanations

    references to specific marine equipment and conditions related to boating speeds

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

    boat brands and types

    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
    HasAnnotation
    -0.44
    Tikang
    -0.41
    fä
    -0.36
    nestjs
    -0.36
    })*/
    -0.35
    thoscope
    -0.35
    WriteTagHelper
    -0.35
    refour
    -0.35
    afficheront
    -0.34
     normaux
    -0.34
    POSITIVE LOGITS
     boat
    1.41
     boats
    1.35
    Boat
    1.22
    boat
    1.21
    boats
    1.19
     Boats
    1.18
     Boat
    1.16
    Boats
    1.16
     yacht
    1.14
     boating
    1.14
    Activations Density 0.059%

    No Known Activations