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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8467
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    terms related to friction and wear in materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StoryboardSegue
    -0.71
    Hochspringen
    -0.70
    ThemeOverlay
    -0.58
    bootstrapcdn
    -0.57
     truss
    -0.55
     clef
    -0.55
     tweets
    -0.54
     Dalla
    -0.54
     intraven
    -0.53
    MLLoader
    -0.53
    POSITIVE LOGITS
     contact
    0.64
     contatto
    0.63
     Contact
    0.61
    contact
    0.61
     surfaces
    0.60
     CONTACT
    0.60
    })*/
    0.60
     friction
    0.60
     BorderSide
    0.59
     контакт
    0.58
    Activations Density 0.707%

    No Known Activations