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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. 182
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    INDEX
    Explanations

    intensifiers, specifically the adverb "very"

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

    Comes before adverbs or adjectives

    np_acts-logits-general · gemini-2.0-flash

    very followed by modifiers

    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
    setVerticalGroup
    -0.94
     sauvages
    -0.73
    paravant
    -0.71
     complètes
    -0.70
     lenker
    -0.68
     vectorielles
    -0.67
     Walkover
    -0.66
     religieuses
    -0.65
     majeur
    -0.64
     sepenuhnya
    -0.64
    POSITIVE LOGITS
     surla
    0.74
    thing
    0.69
     VERY
    0.68
    VERY
    0.66
     much
    0.66
     few
    0.65
    THING
    0.65
     Very
    0.63
    very
    0.63
     very
    0.62
    Activations Density 0.061%

    No Known Activations