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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 6990
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    references to mountains and mountain ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wijl
    -0.46
    hoeddwyd
    -0.43
    Πηγές
    -0.42
    NOPQRST
    -0.41
    Insee
    -0.41
     cowork
    -0.41
    Siga
    -0.40
     Neuk
    -0.39
    ForValue
    -0.39
     Kochen
    -0.39
    POSITIVE LOGITS
    Mountain
    0.69
     mountain
    0.69
     MOUNTAIN
    0.68
    mountain
    0.66
    pose
    0.66
     Mountain
    0.65
    ROM
    0.63
    山
    0.60
     GenerationType
    0.60
    AnchorStyles
    0.58
    Activations Density 0.313%

    No Known Activations