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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. 1417
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    specific characters or phrases used in Japanese language contexts

    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
     tè
    -0.49
     Britann
    -0.45
    僕
    -0.44
    lasting
    -0.43
     ſub
    -0.43
    Lumi
    -0.42
     mues
    -0.42
     listOf
    -0.41
    Capa
    -0.41
    Actu
    -0.41
    POSITIVE LOGITS
    PerformLayout
    0.64
     bowiem
    0.58
    InitVars
    0.52
     BoxFit
    0.52
     segno
    0.52
     paisagem
    0.51
     '\\;'
    0.50
    horabuena
    0.49
     praça
    0.48
     venons
    0.48
    Activations Density 0.014%

    No Known Activations