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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2312
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    terms related to military vehicles and weaponry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dagger
    -0.41
     knife
    -0.37
     czyn
    -0.35
     acto
    -0.32
     comb
    -0.32
     burg
    -0.31
    izarra
    -0.31
     ihop
    -0.31
     Photocase
    -0.31
     polaire
    -0.31
    POSITIVE LOGITS
     mortars
    0.76
     artillery
    0.74
     mortar
    0.65
     Artillery
    0.65
     فريبيس
    0.65
    Tikang
    0.63
     cannons
    0.63
     cannon
    0.63
     يتيمه
    0.63
     Mortar
    0.58
    Activations Density 0.183%

    No Known Activations