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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1080
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    Explanations

    phrases related to friction and wear in mechanical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tableFuture
    -0.77
    expandindo
    -0.58
    Shots
    -0.56
    ManagedBean
    -0.56
     Shots
    -0.55
     localObject
    -0.52
    RTGC
    -0.52
     sumpay
    -0.52
     shooting
    -0.51
    Captor
    -0.51
    POSITIVE LOGITS
     surfaces
    0.55
     Berührung
    0.54
     Oberfläche
    0.52
    摩擦
    0.51
     friction
    0.50
     permukaan
    0.47
     поверхность
    0.45
     slippery
    0.44
     Friction
    0.43
     lubric
    0.43
    Activations Density 1.100%

    No Known Activations