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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11439
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    Explanations

    the use of the word "having" in various contexts

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

    Starts with "Having" or "having"

    np_acts-logits-general · gemini-2.0-flash

    having + participle or noun phrase

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Diweddarwch
    -0.49
     ſtate
    -0.46
    expandindo
    -0.45
    SuppressLint
    -0.43
     poffible
    -0.43
     createState
    -0.42
     houſe
    -0.42
    setLevel
    -0.41
    AnimationsModule
    -0.40
     tranſ
    -0.40
    POSITIVE LOGITS
    Having
    1.50
    having
    1.48
     having
    1.47
     Having
    1.47
     HAVING
    1.29
     habiendo
    0.96
    being
    0.86
     being
    0.85
    Being
    0.84
     tendo
    0.84
    Activations Density 0.118%

    No Known Activations