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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. 4920
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    Explanations

    terms related to calcium and mineral formation processes

    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
    BeginContext
    -0.40
     saffron
    -0.38
     obſ
    -0.38
     anſ
    -0.37
     Coney
    -0.36
     kerosene
    -0.36
     smör
    -0.36
     perſ
    -0.36
     defire
    -0.36
     dirty
    -0.35
    POSITIVE LOGITS
     calcium
    1.23
     Calcium
    1.19
    Calcium
    1.13
    calcium
    1.12
     Ca
    1.00
     lime
    0.96
    Ca
    0.89
     Lime
    0.89
     calc
    0.85
     каль
    0.84
    Activations Density 0.690%

    No Known Activations