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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 1174
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    Explanations

    references to hunting and animals, particularly lions and bears

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_11/width_16k/average_l0_80
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     
    -0.57
    <b>
    -0.54
    <i>
    -0.54
    起
    -0.50
    </b>
    -0.49
    1
    -0.47
    “
    -0.46
    </i>
    -0.45
     micro
    -0.45
     som
    -0.44
    POSITIVE LOGITS
     hunting
    1.21
     Hunting
    1.18
     hunts
    1.17
     hunted
    1.16
    Hunting
    1.15
     hunt
    1.13
     hunters
    1.10
     hunter
    1.10
    hunting
    1.09
     Efq
    1.09
    Activations Density 0.418%

    No Known Activations