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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. 90075
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    Explanations

    terms related to mountains and mountainous landscapes

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

    mountain bikes

    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
    oredCriteria
    -0.65
    parsedMessage
    -0.56
    verwijspagina
    -0.52
    Bakgrunnsstoff
    -0.52
    ftagPool
    -0.50
    OGND
    -0.47
     AssemblyCulture
    -0.47
    ViewImports
    -0.46
    VolleyError
    -0.46
     transfieras
    -0.44
    POSITIVE LOGITS
     Mountain
    0.53
    Mountain
    0.52
    Дереккөздер
    0.49
    ous
    0.47
     []:
    0.45
    side
    0.44
    mountain
    0.42
    top
    0.42
    LookAnd
    0.42
     MOUNTAIN
    0.42
    Activations Density 0.006%

    No Known Activations