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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams, particularly the Boston Bruins and Montreal Canadiens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lying
    -0.78
    awaru
    -0.72
    eering
    -0.72
    utterstock
    -0.72
    skirts
    -0.71
    è¦ļéĨĴ
    -0.70
    eting
    -0.65
    urities
    -0.64
    resent
    -0.64
    UTC
    -0.63
    POSITIVE LOGITS
     Bruins
    1.27
     Sabres
    0.93
     Lions
    0.80
     Bru
    0.79
     defenseman
    0.78
     Celtics
    0.75
     Devils
    0.74
     Bros
    0.72
     Brothers
    0.71
     linem
    0.71
    Activations Density 0.006%

    No Known Activations