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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 17639
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    INDEX
    Explanations

    references to the use of binoculars

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

    seeing with binoculars

    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
     shooter
    -0.70
     shootout
    -0.68
     shootings
    -0.65
     shooters
    -0.65
     shoot
    -0.62
     Shoot
    -0.61
    shoot
    -0.60
     shooting
    -0.60
    shots
    -0.56
    Shoot
    -0.55
    POSITIVE LOGITS
     ویکی‌پدی
    0.70
     binoculars
    0.50
     bin
    0.50
    bin
    0.45
     Bin
    0.45
    Bin
    0.45
    MIDDLEWARE
    0.44
    RTSC
    0.44
     transfieras
    0.41
     senderismo
    0.40
    Activations Density 0.027%

    No Known Activations