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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 13177
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    Explanations

    references to eating experiences and dining preferences

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

    descriptions of crowded or busy places and times.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pinMode
    -0.32
    defineProperty
    -0.32
     pontu
    -0.29
    Geschiedenis
    -0.29
     penerima
    -0.28
     biografia
    -0.27
    DataContract
    -0.27
     medži
    -0.27
     šķ
    -0.27
     unknownFields
    -0.27
    POSITIVE LOGITS
     busy
    1.73
     crowded
    1.70
     busiest
    1.62
     crowds
    1.58
    busy
    1.48
     crowd
    1.45
     traffic
    1.43
     overcrowded
    1.38
    Busy
    1.33
     Busy
    1.33
    Activations Density 0.280%

    No Known Activations