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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18651
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    Explanations

    phrases related to someone's value or importance in a team or organization

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight the importance or value of individuals in a team or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ISBN
    -0.77
     degrees
    -0.72
     Abstract
    -0.72
    degree
    -0.71
    grave
    -0.70
    respond
    -0.70
     Degree
    -0.68
     degree
    -0.68
    Abstract
    -0.68
     Publication
    -0.67
    POSITIVE LOGITS
     teammates
    0.79
     defensively
    0.77
     offensively
    0.74
     guarding
    0.74
     platoon
    0.72
     teammate
    0.70
    apego
    0.70
     bolst
    0.69
     bolster
    0.68
     frontline
    0.68
    Activations Density 0.416%

    No Known Activations