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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 2-LLAMASCOPE-RES-32K
    11. 18692
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    Explanations

    various types of quantitative data and their analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lyn
    -0.17
    618
    -0.15
    lettes
    -0.15
    ote
    -0.14
     Ros
    -0.14
    coop
    -0.14
     Stuff
    -0.14
     tot
    -0.14
    454
    -0.14
    oras
    -0.14
    POSITIVE LOGITS
     Fet
    0.17
    egot
    0.16
    LOBAL
    0.15
    ipsis
    0.15
    evin
    0.14
    -begin
    0.14
    amide
    0.14
    rer
    0.14
    idal
    0.14
    aggio
    0.13
    Activations Density 0.270%

    No Known Activations