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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1265
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    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.52
     intptr
    -0.51
    dientemente
    -0.44
     idéia
    -0.41
     TAMBIÉN
    -0.40
     bieg
    -0.40
     mercancías
    -0.39
     célè
    -0.39
    expandindo
    -0.38
     exigencias
    -0.38
    POSITIVE LOGITS
    onyx
    0.47
    PyExc
    0.44
    VolleyError
    0.44
    ForResult
    0.43
    knex
    0.43
    tirol
    0.42
    DECREF
    0.42
    autogui
    0.42
     Rejected
    0.42
     born
    0.41
    Activations Density 0.182%

    No Known Activations