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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8299
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    Explanations

    specific terminology and properties related to engineering components, particularly rubber and tire construction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the material "rubber"

    np_acts-logits-general · gemini-2.0-flash

    rubber components and materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.40
     aço
    -0.36
     CreateTagHelper
    -0.35
     solder
    -0.35
     vote
    -0.34
    kiat
    -0.34
     tse
    -0.34
     Schell
    -0.34
     rust
    -0.34
     vetro
    -0.34
    POSITIVE LOGITS
     rubber
    1.09
    rubber
    1.01
    Rubber
    0.98
     Rubber
    0.98
    橡胶
    0.82
     gomma
    0.81
    ゴム
    0.76
     vulcan
    0.74
     elast
    0.74
     caucho
    0.74
    Activations Density 0.340%

    No Known Activations