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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 11700
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    Explanations

    phrases that describe meals and dining experiences

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

    phrases describing meals or eating occasions with the structure "a [meal type]" or "a [food-related activity]".

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.73
    rungsseite
    -0.54
     للمعارف
    -0.50
    GEBURTSDATUM
    -0.48
    CppMethod
    -0.41
    ponses
    -0.41
     مرئيه
    -0.41
    ➟
    -0.40
    tinyos
    -0.40
    
    -0.40
    POSITIVE LOGITS
     trip
    0.74
     stint
    0.73
     visit
    0.71
     brief
    0.66
     foray
    0.66
     flashback
    0.64
     surprise
    0.63
     impromptu
    0.62
     quick
    0.59
     interview
    0.59
    Activations Density 0.514%

    No Known Activations