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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 56155
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    Explanations

    components related to armrests in seating arrangements, particularly in patient chairs

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

    desk, lap, console, rests

    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
    /**
    -0.59
    
    -0.57
    windowFixed
    -0.51
    parsedMessage
    -0.50
    <?
    -0.50
    complexType
    -0.47
    Rüyada
    -0.43
    PullParser
    -0.41
    uterte
    -0.40
    
    -0.40
    POSITIVE LOGITS
    Werdegang
    0.41
    heiser
    0.40
     getItemId
    0.36
    NSNotification
    0.35
    irability
    0.35
    mones
    0.35
     Fanning
    0.35
    thanol
    0.34
    TokenName
    0.34
    brengen
    0.34
    Activations Density 0.172%

    No Known Activations