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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7728
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    Explanations

    elements that emphasize professionalism and courtesy in business communication

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

    after "has," "would," "will," "could," or "may"

    np_acts-logits-general · gemini-2.0-flash

    modal verbs followed by action

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.79
     prioritise
    -0.76
    Portail
    -0.75
     ⁠
    -0.70
     Wiktionnaire
    -0.67
     😅
    -0.66
    Alongside
    -0.65
    Билгалдахарш
    -0.65
     otomatig
    -0.64
    fycat
    -0.63
    POSITIVE LOGITS
     muß
    0.80
     definately
    0.75
     skall
    0.74
    SourceChecksum
    0.74
     idéia
    0.72
     insure
    0.68
     läßt
    0.65
    ContentAlignment
    0.61
    luß
    0.60
     insuring
    0.59
    Activations Density 0.412%

    No Known Activations