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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. 13935
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    terms related to eating and dietary habits

    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
     насељу
    -0.48
     efforts
    -0.44
    LookAnd
    -0.42
     effort
    -0.40
    honda
    -0.39
     Schein
    -0.39
    DCHECK
    -0.38
    tableFuture
    -0.37
    efforts
    -0.37
     utilizarse
    -0.36
    POSITIVE LOGITS
    MemoryWarning
    0.56
    🍴
    0.54
    StoryboardSegue
    0.54
    .*")]
    0.50
    🍽
    0.50
    tangentMode
    0.47
    RectangleBorder
    0.47
     habits
    0.47
     Disorders
    0.46
     breakfast
    0.45
    Activations Density 0.149%

    No Known Activations