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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. 9-GEMMASCOPE-RES-131K
    11. 118566
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    Explanations

    elements related to natural landscapes and outdoor environments

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

    mountains, forests, rivers

    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
    fjspx
    -0.53
     SqlCommand
    -0.43
     AssemblyCulture
    -0.42
     skru
    -0.42
     HttpServlet
    -0.42
    lusconi
    -0.41
    tanleria
    -0.40
    kpop
    -0.39
    onuclear
    -0.39
    HttpServlet
    -0.39
    POSITIVE LOGITS
     mountains
    0.75
     forests
    0.73
     river
    0.68
    mountains
    0.68
     mountain
    0.68
     forest
    0.66
     beaches
    0.65
     ocean
    0.64
     beach
    0.63
     montagnes
    0.60
    Activations Density 0.113%

    No Known Activations