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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. 13360
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    Explanations

    words and phrases related to political actions and their impacts

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

    that precede words like "spur", "trigger", "motivate", "elicit", etc

    np_acts-logits-general · gemini-2.0-flash

    causing effects

    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
    essentiel
    -0.56
    脚注の使い方
    -0.54
    ViewFeatures
    -0.53
     الحره
    -0.52
    MessageOf
    -0.51
    νώ
    -0.50
    Personensuche
    -0.50
    ennemi
    -0.48
    >{@
    -0.47
     perdiendo
    -0.47
    POSITIVE LOGITS
     stimulate
    1.81
     trigger
    1.75
     motivate
    1.74
     stimulated
    1.74
     spur
    1.72
     triggering
    1.71
     motivating
    1.68
     stimulates
    1.68
     Stim
    1.67
     prompting
    1.66
    Activations Density 0.974%

    No Known Activations