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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. 2368
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    Explanations

    descriptive terms related to natural landscapes and scenic beauty

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

    "Valley", "scenery", or mountainous landscapes

    np_acts-logits-general · gemini-2.0-flash

    valleys and mountain scenery

    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
     queſta
    -0.73
    httphttps
    -0.58
    SequentialGroup
    -0.56
    expandindo
    -0.56
     насељу
    -0.56
     uſed
    -0.55
     OnEnable
    -0.54
     becauſe
    -0.54
     Савезне
    -0.53
     indisponible
    -0.53
    POSITIVE LOGITS
     scenic
    0.50
     scenery
    0.46
     valley
    0.42
     mountains
    0.42
     Scenic
    0.41
    valley
    0.41
    mountain
    0.40
     fjord
    0.39
     جمال
    0.38
     mountainous
    0.38
    Activations Density 0.192%

    No Known Activations