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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 13088
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    INDEX
    Explanations

    mentions of "face" in various contexts

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

    "face" or its variations

    np_acts-logits-general · gemini-2.0-flash

    face new limitations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Albany
    -0.64
     Tivoli
    -0.54
     Mushroom
    -0.54
    Tikang
    -0.53
     AssemblyCulture
    -0.51
    Albany
    -0.50
     migrator
    -0.49
     Shrewsbury
    -0.48
     Gran
    -0.48
     Lark
    -0.48
    POSITIVE LOGITS
    Face
    1.23
     Face
    1.18
    face
    1.16
     FACE
    1.14
     face
    1.11
    FACE
    1.03
     Faces
    1.01
    Faces
    0.99
     faces
    0.96
     ansik
    0.91
    Activations Density 0.126%

    No Known Activations