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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 4902
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    Explanations

    the word "very."

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     الرياضيه
    -0.57
     SwitchCompat
    -0.47
    rather
    -0.39
    IntoConstraints
    -0.38
    หน้านี้
    -0.37
     corresponde
    -0.37
    好吃的
    -0.35
    ScopeManager
    -0.35
     Rather
    -0.35
    ModelForm
    -0.33
    POSITIVE LOGITS
     much
    0.68
     mực
    0.61
     VERY
    0.60
    Molto
    0.59
    Much
    0.56
    much
    0.56
    fortawesome
    0.55
     Much
    0.55
     very
    0.55
     Molto
    0.54
    Activations Density 0.075%

    No Known Activations