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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. 11-RES-JB
    6. 16865
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    INDEX
    Explanations

    information related to sports games and match outcomes

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to sports team performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.78
    milo
    -0.73
    Born
    -0.69
    ributes
    -0.68
    Companies
    -0.68
    erb
    -0.66
    ende
    -0.66
    catentry
    -0.65
    agents
    -0.65
    oyal
    -0.65
    POSITIVE LOGITS
     bye
    1.07
     overtime
    0.96
     playoff
    0.95
     rout
    0.93
     undefeated
    0.92
     losses
    0.91
     trailed
    0.90
     clin
    0.89
     halftime
    0.88
     victory
    0.87
    Activations Density 0.249%

    No Known Activations