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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 10036
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    Explanations

    instances of the word "having"

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

    having to + verb

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſche
    -0.60
     skjø
    -0.56
     ſtate
    -0.55
    mær
    -0.49
    impresa
    -0.49
     ſch
    -0.48
     ſtand
    -0.46
     houſe
    -0.46
     affari
    -0.45
     dieux
    -0.44
    POSITIVE LOGITS
    having
    1.47
     having
    1.34
    Having
    1.31
     Having
    1.24
     HAVING
    1.20
     tendo
    0.82
    HAV
    0.80
    have
    0.78
    being
    0.77
     иметь
    0.76
    Activations Density 0.016%

    No Known Activations