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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 15462
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    Explanations

    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 @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chwiliwch
    -0.42
    ientras
    -0.41
    jarah
    -0.41
     Majefty
    -0.40
    uginosa
    -0.40
     méri
    -0.39
     fubject
    -0.38
     bocca
    -0.38
    AndEndTag
    -0.38
     betweenstory
    -0.37
    POSITIVE LOGITS
     having
    1.43
    having
    1.33
     Having
    1.33
    Having
    1.29
     HAVING
    1.23
     ayant
    0.98
     Have
    0.91
     avoir
    0.88
     иметь
    0.88
    Have
    0.85
    Activations Density 0.157%

    No Known Activations