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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 1323
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    INDEX
    Explanations

    expressions related to food and dining experiences

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

    relating to eating and dining

    np_acts-logits-general · gemini-2.0-flash

    eating meals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.73
     Савезне
    -0.67
     defaultstate
    -0.63
    KommentareTeilen
    -0.61
     GetEnumerator
    -0.57
    <?
    -0.57
     '\\;'
    -0.57
     Audiodateien
    -0.57
    InputTagHelper
    -0.56
     ReactDOM
    -0.56
    POSITIVE LOGITS
     table
    0.84
     dining
    0.83
     diners
    0.81
     eating
    0.77
     meal
    0.73
     eat
    0.72
     dinner
    0.70
     tablecloth
    0.68
     dined
    0.68
     tableware
    0.66
    Activations Density 0.204%

    No Known Activations