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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. 2439
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    INDEX
    Explanations

    intensifiers and modifiers that emphasize qualities, particularly the word "very."

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

    Intensifiers before positive adjectives

    np_acts-logits-general · gemini-2.0-flash

    intensifiers and comparatives

    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
     betweenstory
    -0.64
     fometimes
    -0.62
     möglichst
    -0.59
     erfaring
    -0.58
     avoient
    -0.58
     religieuses
    -0.57
    oarece
    -0.57
     lots
    -0.56
    lots
    -0.56
    最も
    -0.56
    POSITIVE LOGITS
    WSGI
    0.66
    存于互联网档案馆
    0.66
    writeFieldEnd
    0.63
    extAlignment
    0.60
     مُعرِّف
    0.57
    itattu
    0.57
     reliant
    0.57
    OrBuilder
    0.56
    SizeMode
    0.55
     different
    0.55
    Activations Density 0.287%

    No Known Activations