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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. 7075
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    Explanations

    proper nouns, especially names of people and places

    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
     Bastille
    -0.57
    Acrylic
    -0.54
     acrylic
    -0.53
     quarks
    -0.52
     Acrylic
    -0.52
    DispatchToProps
    -0.52
    AutoScaleMode
    -0.52
    nuclear
    -0.51
     helicópter
    -0.51
     cassettes
    -0.51
    POSITIVE LOGITS
     WWI
    0.45
     fotográfico
    0.43
     thereunder
    0.38
    Xna
    0.37
     ferrocarril
    0.36
    大正
    0.36
     Railways
    0.36
     railway
    0.36
     ljus
    0.35
    Erfolge
    0.34
    Activations Density 1.104%

    No Known Activations