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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. 94469
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    Explanations

    references to city skylines or prominent urban features

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

    skyline

    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
     chaude
    -0.43
    (
    -0.41
     adik
    -0.38
    [
    -0.37
     (
    -0.37
    /*
    -0.35
     paille
    -0.35
    <
    -0.35
     kick
    -0.34
     preghi
    -0.34
    POSITIVE LOGITS
     skyline
    2.23
     Skyline
    2.05
    skyline
    1.84
     skyl
    1.23
     cityscape
    1.00
    skyl
    1.00
     Skyl
    0.98
     horizonte
    0.77
    houette
    0.77
     horizon
    0.76
    Activations Density 0.001%

    No Known Activations