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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15184
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    INDEX
    Explanations

    terms related to sharpness or intensity

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

    Text containing the word "sharp"

    np_acts-logits-general · gemini-2.0-flash

    sharp descriptors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MathML
    -0.51
    </table>
    -0.44
    enumii
    -0.40
    mathit
    -0.39
    accompag
    -0.38
    Padre
    -0.38
     esfera
    -0.36
     Anschluss
    -0.36
    Життєпис
    -0.36
     Nestor
    -0.36
    POSITIVE LOGITS
     Sharp
    1.05
     sharp
    0.96
    sharp
    0.96
     SHARP
    0.94
    Sharp
    0.93
     sharper
    0.83
     tajam
    0.80
     sharply
    0.76
     sharpness
    0.76
     sharpen
    0.70
    Activations Density 0.142%

    No Known Activations