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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. 9278
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    Explanations

    instances of eating or food-related actions and their frequency in the context

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

    eating

    np_acts-logits-general · gemini-2.0-flash

    eating food and habits

    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
    LookAnd
    -0.56
     autorytatywna
    -0.54
     initComponents
    -0.53
     viſ
    -0.52
    httphttps
    -0.50
    GrantedAuthority
    -0.50
    orsese
    -0.50
     createSprite
    -0.49
    裟
    -0.48
    reathe
    -0.48
    POSITIVE LOGITS
     eat
    0.66
    Eat
    0.63
     Eat
    0.60
     eaten
    0.55
     devour
    0.52
     eating
    0.52
    eat
    0.50
     devouring
    0.50
     eats
    0.48
    eating
    0.47
    Activations Density 0.119%

    No Known Activations