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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 3885
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    Explanations

    references to the word "dressed" and terms related to vegetables

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    fromnode
    -0.73
    httphttps
    -0.59
     שוליים
    -0.59
    openzeppelin
    -0.56
     &___
    -0.56
     terroir
    -0.55
     nakalista
    -0.55
    цтва
    -0.55
     pernikahan
    -0.54
    typically
    -0.53
    POSITIVE LOGITS
     Bea
    0.54
     vegetable
    0.54
     dressed
    0.50
     Face
    0.48
     face
    0.47
     valid
    0.46
     ces
    0.44
     MS
    0.42
     drag
    0.42
    Face
    0.41
    Activations Density 0.230%

    No Known Activations