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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. 2137
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    INDEX
    Explanations

    various types and mentions of hats and headwear

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

    "hat" or variants

    np_acts-logits-general · gemini-2.0-flash

    hat versions or tricornutum

    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
    Not in Any Lists

    No Comments

    Negative Logits
    MigrationBuilder
    -0.47
    QMetaType
    -0.42
    Clive
    -0.41
    icitis
    -0.40
     Clive
    -0.39
     createSlice
    -0.38
     Danes
    -0.38
     Kobe
    -0.38
    ChildScrollView
    -0.35
    emples
    -0.35
    POSITIVE LOGITS
     hat
    1.74
     hats
    1.68
     Hats
    1.51
     Hat
    1.50
    Hat
    1.48
    Hats
    1.40
     HAT
    1.27
    hats
    1.21
    HAT
    1.16
     cappello
    1.16
    Activations Density 0.210%

    No Known Activations