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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15544
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    INDEX
    Explanations

    phrases related to the concept of making or creating meaning

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "makes" followed by "me," "sense," or "your"

    np_acts-logits-general · gemini-2.0-flash

    makes sense or me

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ſelf
    -0.57
     deleteById
    -0.50
     purpoſe
    -0.49
     myſelf
    -0.47
     Administrativna
    -0.47
     fubject
    -0.44
     demografica
    -0.44
    optString
    -0.43
    ſelves
    -0.43
    Rohy
    -0.42
    POSITIVE LOGITS
     me
    0.54
     sense
    0.49
     us
    0.46
    sense
    0.43
    makes
    0.41
    താ
    0.41
    Makes
    0.38
     you
    0.37
    MessageWindow
    0.37
     makes
    0.36
    Activations Density 0.074%

    No Known Activations