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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
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    Explanations

    the presence of the verb "have" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OFFIC
    -0.47
     useStyles
    -0.47
    おきます
    -0.41
     betweenstory
    -0.41
     {\
    -0.41
     (@
    -0.40
    UpdatedBy
    -0.39
     Stru
    -0.39
    なります
    -0.39
    (?:
    -0.39
    POSITIVE LOGITS
    have
    1.06
     have
    1.06
    Have
    0.97
    HAVE
    0.86
     Have
    0.86
     HAVE
    0.81
     hebben
    0.79
     haben
    0.74
     mieć
    0.69
     mają
    0.66
    Activations Density 0.207%

    No Known Activations