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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13268
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    INDEX
    Explanations

    situations involving facing challenges or difficulties

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "face" or "faced"

    np_acts-logits-general · gemini-2.0-flash

    face and its forms

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Negative Logits
    eramente
    -0.45
    CPtr
    -0.43
     glisser
    -0.43
     Turi
    -0.42
     gouvern
    -0.42
     artist
    -0.42
    ProductID
    -0.41
    estero
    -0.40
     mith
    -0.40
     weddings
    -0.40
    POSITIVE LOGITS
     facing
    1.57
     Facing
    1.52
     faced
    1.50
    Facing
    1.45
    facing
    1.31
     Faced
    1.27
     enfrenta
    1.23
    faced
    1.17
     enfrentar
    1.12
     face
    1.10
    Activations Density 0.126%

    No Known Activations