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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12143
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    Explanations

    terms related to engine performance under varying loads

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !("{}",
    -0.40
     nakalista
    -0.37
     cầm
    -0.36
    ttemberg
    -0.35
    ranslated
    -0.35
    amarca
    -0.35
    ⅛
    -0.35
     zab
    -0.35
    遁
    -0.34
     poveznice
    -0.34
    POSITIVE LOGITS
     load
    3.58
     Load
    3.13
    load
    3.05
     LOAD
    2.89
     loading
    2.89
    Load
    2.88
     loads
    2.81
     loaded
    2.67
    LOAD
    2.59
     Loads
    2.55
    Activations Density 0.645%

    No Known Activations