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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 4878
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    Explanations

    words associated with shaving implements and their functionalities

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

    words and phrases related to cutting tools and blades (knives, razors, shears).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlAccessorType
    -0.50
    getJSONArray
    -0.47
    tvguidetime
    -0.47
    ftagPool
    -0.46
    תא
    -0.45
    Cyfeiriadau
    -0.45
    endpush
    -0.44
    SequentialGroup
    -0.44
     ब्रेकडाउन
    -0.44
    endregion
    -0.44
    POSITIVE LOGITS
     blade
    1.30
     blades
    1.16
     knife
    1.05
     Blade
    1.00
     knives
    0.97
     Blades
    0.95
    blades
    0.94
    blade
    0.94
    Blade
    0.94
     handle
    0.88
    Activations Density 0.205%

    No Known Activations