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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15244
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    Explanations

    references to the term "Lammas" and related variations

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

    Tokens starting with "Lam" or "Lem"

    np_acts-logits-general · gemini-2.0-flash

    Lam or Lem words

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     szem
    -0.35
     Regione
    -0.32
     पूरी
    -0.32
    skrä
    -0.30
     poffible
    -0.30
    toLocale
    -0.30
     złota
    -0.29
     completely
    -0.29
    XmlType
    -0.29
    andExpect
    -0.28
    POSITIVE LOGITS
    Tembelea
    0.63
    mergeFrom
    0.60
     disambiguazione
    0.60
     Lam
    0.60
    Lam
    0.59
     Lem
    0.56
    Lem
    0.55
    MessageOf
    0.55
     LIM
    0.52
    enderror
    0.52
    Activations Density 0.141%

    No Known Activations