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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 30218
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    Explanations

    keywords related to eating habits and food choices

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

    eating and related contexts

    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-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    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
    ']))
    -0.86
     Nimbus
    -0.78
    MemoryWarning
    -0.76
     />}
    -0.75
    Nimbus
    -0.73
    ں
    -0.73
    }}],
    -0.71
    tomans
    -0.71
     виправивши
    -0.69
    ("")]
    -0.68
    POSITIVE LOGITS
     EAT
    1.24
     eat
    1.13
     Eat
    1.09
     Eaton
    1.05
     eats
    1.05
     eaten
    1.01
    Eat
    0.99
     eater
    0.97
     ate
    0.95
    EAT
    0.94
    Activations Density 0.009%

    No Known Activations