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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8186
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    Explanations

    details related to the manufacturing and functionality of absorbent materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ۣ
    -0.50
     autorytatywna
    -0.45
     lát
    -0.42
    Epoxy
    -0.42
    保険
    -0.41
     ProtoMessage
    -0.41
     Epoxy
    -0.41
     pegat
    -0.41
     Polic
    -0.40
    BagLayout
    -0.40
    POSITIVE LOGITS
     paper
    0.63
    Paper
    0.60
     Paper
    0.59
    楞
    0.54
     cardboard
    0.54
     pulp
    0.53
     papiers
    0.53
     converting
    0.51
     PAPER
    0.50
    paper
    0.50
    Activations Density 0.426%

    No Known Activations