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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14769
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    Explanations

    descriptions of locations with beautiful beaches and scenic views

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

    "beach" or "sand"

    np_acts-logits-general · gemini-2.0-flash

    beach and sand

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uaire
    -0.52
    forestry
    -0.51
     محفوظة
    -0.49
    हार
    -0.48
    thyroidism
    -0.48
    aculture
    -0.48
    agro
    -0.47
    AppRoutingModule
    -0.46
     renovables
    -0.45
    HasForeignKey
    -0.44
    POSITIVE LOGITS
     sandy
    1.09
     sands
    1.02
     sand
    0.97
     sabbia
    0.96
     beach
    0.88
     beaches
    0.86
     areia
    0.79
     zand
    0.78
    sand
    0.78
    沙
    0.77
    Activations Density 0.062%

    No Known Activations