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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 13382
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    Explanations

    mentions of mountains or mountain-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CFA
    -0.39
     CFA
    -0.39
    oflavin
    -0.38
    OFF
    -0.38
     Jeffries
    -0.38
    msford
    -0.37
    -0.36
     Delft
    -0.36
    teria
    -0.36
     kana
    -0.35
    POSITIVE LOGITS
     Mountain
    2.47
     mountain
    2.47
    Mountain
    2.42
     MOUNTAIN
    2.23
    mountain
    2.23
     mountains
    2.03
     Mountains
    2.00
    Mountains
    1.84
    mountains
    1.83
     montagne
    1.79
    Activations Density 0.161%

    No Known Activations