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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B
    4. Residual Stream
    5. 25-LLAMASCOPE-RES-32K
    6. 13920
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    Explanations

    references to goal-scoring events 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 @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VOKE
    -0.18
     Score
    -0.17
    egin
    -0.16
    SourceType
    -0.15
    rz
    -0.15
     Alman
    -0.14
     LARGE
    -0.14
     nghiêm
    -0.14
    èī¯
    -0.14
    orthand
    -0.14
    POSITIVE LOGITS
     winner
    0.25
     winning
    0.22
     brace
    0.22
    winner
    0.22
     hat
    0.21
     header
    0.20
     late
    0.20
     goal
    0.19
     deciding
    0.19
     goals
    0.19
    Activations Density 0.052%

    No Known Activations