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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8664
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    references to animals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BufferException
    -0.53
     يتيمه
    -0.49
     Administrativna
    -0.48
     edelstahl
    -0.47
     récomp
    -0.47
     régulière
    -0.47
     laſſen
    -0.46
    parsedMessage
    -0.46
     müſſen
    -0.46
     gustaMe
    -0.45
    POSITIVE LOGITS
     Animal
    1.30
    Animal
    1.22
     animal
    1.22
    animal
    1.12
     ANIMAL
    0.99
    ANIMAL
    0.96
    動物
    0.60
    动物
    0.59
    LabelTagHelper
    0.49
     defaultstate
    0.47
    Activations Density 0.053%

    No Known Activations