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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 11670
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    various types of fruits and vegetables within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illeen
    -0.39
     Rajiv
    -0.36
     Sabha
    -0.35
     Hooper
    -0.35
    IBAction
    -0.35
     Schindler
    -0.35
     Spielberg
    -0.34
     Lugo
    -0.34
    calaure
    -0.34
    sonaro
    -0.33
    POSITIVE LOGITS
     almond
    1.48
     apricot
    1.36
     mango
    1.35
     apple
    1.35
     pomegranate
    1.34
     peach
    1.34
     strawberry
    1.34
     hazelnut
    1.30
     Almond
    1.30
     walnut
    1.30
    Activations Density 0.946%

    No Known Activations