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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 9438
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    Explanations

    vocabulary related to tire construction and materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InjectAttribute
    -0.48
    HandlerContext
    -0.45
    together
    -0.43
    примеча
    -0.43
     élect
    -0.42
     Kinn
    -0.42
    zungen
    -0.41
     Picchu
    -0.41
    asen
    -0.41
     tangga
    -0.41
    POSITIVE LOGITS
     tyres
    0.93
     tires
    0.91
     tyre
    0.89
     Tire
    0.85
     tire
    0.84
     Tires
    0.81
    Tire
    0.79
     Tyres
    0.76
    Tires
    0.69
     Tyre
    0.68
    Activations Density 0.182%

    No Known Activations