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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. 61614
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    INDEX
    Explanations

    descriptions of various types of vehicles and their capabilities

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

    equipped with weapons or engines

    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
    Espèce
    -0.49
     autobuses
    -0.47
     Busse
    -0.46
     autobús
    -0.42
     coches
    -0.41
     Freien
    -0.41
     camiones
    -0.40
     Übers
    -0.38
     nuages
    -0.38
    scriptcase
    -0.38
    POSITIVE LOGITS
     armament
    0.80
     weaponry
    0.79
     weapons
    0.70
     armaments
    0.69
     propulsion
    0.66
     payload
    0.65
     engines
    0.63
    armament
    0.60
     payloads
    0.59
     guns
    0.58
    Activations Density 0.047%

    No Known Activations