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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. 2-RES-JB
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    Explanations

    references related to sports teams, specifically the Boston Bruins and the Boston Celtics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Boston Bruins and Celtics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.73
    è¦ļéĨĴ
    -0.72
    arta
    -0.72
    eting
    -0.71
    skirts
    -0.70
    ourning
    -0.69
    awaru
    -0.69
    eger
    -0.69
    eering
    -0.68
    SPONSORED
    -0.67
    POSITIVE LOGITS
     Bruins
    1.34
     Sabres
    0.93
     Bru
    0.90
     Celtics
    0.84
    heastern
    0.75
     defenseman
    0.75
     Bros
    0.74
     Lions
    0.72
     Ori
    0.70
     Devils
    0.70
    Activations Density 0.012%

    No Known Activations