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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2158
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    Explanations

    the word "whom" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.77
    2
    -0.62
    4
    -0.56
    qui
    -0.55
    5
    -0.55
    چ
    -0.55
     brasile
    -0.54
     lost
    -0.53
    apnews
    -0.53
    9
    -0.53
    POSITIVE LOGITS
     whom
    2.24
    whom
    2.15
     Whom
    1.91
    Whom
    1.82
     whome
    1.07
    +#+
    0.89
    ]")]
    0.87
     avoient
    0.87
     للاسماء
    0.86
    TagMode
    0.85
    Activations Density 0.073%

    No Known Activations