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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11056
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    Explanations

    food items, particularly those related to grains and cereals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ծանոթ
    -0.57
     continúas
    -0.57
    uchsia
    -0.55
    yakarta
    -0.54
     Freitas
    -0.53
     rhestr
    -0.53
    RefNanny
    -0.51
    prefixer
    -0.51
    orited
    -0.50
     Raub
    -0.50
    POSITIVE LOGITS
     grain
    0.98
     grains
    0.88
    grain
    0.84
     Grain
    0.84
    Grain
    0.83
     wheat
    0.81
     Grains
    0.80
     cereal
    0.79
     Cereal
    0.79
    grains
    0.78
    Activations Density 0.543%

    No Known Activations