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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. 42507
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    Explanations

    terms related to melted cheese and melting processes in cooking

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

    melting and flow

    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
    ussis
    -0.40
    ecap
    -0.38
     clô
    -0.38
    /**
    -0.38
     filters
    -0.38
    ereo
    -0.38
    LookAnd
    -0.37
    Rohy
    -0.36
    Epit
    -0.36
    eper
    -0.36
    POSITIVE LOGITS
    ThroughAttribute
    0.60
     melting
    0.54
    parsedMessage
    0.53
    createCanvas
    0.49
     melted
    0.49
     nóng
    0.48
    Melting
    0.47
    KURZBESCHREIBUNG
    0.46
    IBAction
    0.45
    存于互联网档案馆
    0.45
    Activations Density 0.157%

    No Known Activations