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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 6-LLAMASCOPE-RES-32K
    11. 14389
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    Explanations

    concepts related to layers and layering

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 6-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L6R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    nem
    -0.16
    ive
    -0.16
    ogn
    -0.15
    s
    -0.15
    -looking
    -0.15
    sen
    -0.14
     points
    -0.14
     Umb
    -0.14
     Aid
    -0.14
    zzo
    -0.14
    POSITIVE LOGITS
    istrovstvÃŃ
    0.18
    次
    0.16
    illisecond
    0.16
    antro
    0.16
    iminal
    0.15
    [layer
    0.15
     Qed
    0.15
    .Layer
    0.15
    .tc
    0.15
    anford
    0.15
    Activations Density 0.016%

    No Known Activations