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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14835
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    Explanations

    descriptions of violent actions and the tools used to commit them

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

    associated with sharpness

    np_acts-logits-general · gemini-2.0-flash

    sharp cutting implements

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    *)&
    -0.56
    misu
    -0.53
    SerializedSize
    -0.51
     vacated
    -0.50
    crollView
    -0.49
    AnimationsModule
    -0.48
     Sump
    -0.47
     Dowling
    -0.46
    hup
    -0.45
     evacuated
    -0.45
    POSITIVE LOGITS
     sharp
    1.87
    sharp
    1.68
     sharpness
    1.59
     sharper
    1.58
     sharpened
    1.57
     Sharp
    1.50
    Sharp
    1.48
     SHARP
    1.48
     razor
    1.47
     knife
    1.40
    Activations Density 0.396%

    No Known Activations