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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 6962
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    Explanations

    names of people and mentions of their professional roles or activities related to the entertainment industry

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

    Names of celebrities or actors

    np_acts-logits-general · gemini-2.0-flash

    celebrity names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vordergrund
    -0.61
    writeField
    -0.49
     colectiva
    -0.47
     morire
    -0.47
    Hochspringen
    -0.45
     faute
    -0.43
     faibles
    -0.43
     segi
    -0.43
     hozz
    -0.42
     megfe
    -0.42
    POSITIVE LOGITS
    OGND
    0.67
     famously
    0.67
    NameInMap
    0.66
     Seeder
    0.63
     nahilalakip
    0.61
     endorsing
    0.61
     rumoured
    0.60
     StringTokenizer
    0.59
     tweeted
    0.59
     dilaporkan
    0.58
    Activations Density 0.148%

    No Known Activations