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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 28-LLAMASCOPE-RES-32K
    11. 18104
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    Explanations

    mentions of wins and losses in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 28-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L28R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amt
    -0.15
    olang
    -0.14
     åĽ
    -0.14
    zung
    -0.14
    rawn
    -0.14
     analog
    -0.14
     sÃłng
    -0.13
    tout
    -0.13
     analogue
    -0.13
    anden
    -0.13
    POSITIVE LOGITS
     versus
    0.34
     vs
    0.34
     Vs
    0.29
     verses
    0.28
    vs
    0.28
    _vs
    0.25
     against
    0.25
    vers
    0.24
     away
    0.23
    (vs
    0.23
    Activations Density 0.045%

    No Known Activations