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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. 1-RES-JB
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    Explanations

    mentions of sports teams, especially the Cleveland Cavaliers and Kentucky Wildcats

    oai_token-act-pair · gpt-3.5-turbo

    mentions of basketball teams, specifically the Cavaliers and Cavs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notations
    -0.77
    ISA
    -0.72
    isite
    -0.71
    mission
    -0.71
    sent
    -0.70
    SPONSORED
    -0.69
    unal
    -0.68
    ebin
    -0.68
    skirts
    -0.67
    station
    -0.67
    POSITIVE LOGITS
     Cavaliers
    1.37
     Cavs
    1.01
     Clinic
    0.83
     Pacers
    0.77
    HAEL
    0.75
     Celtics
    0.73
    sburg
    0.72
     Bulls
    0.72
    rons
    0.72
     Royale
    0.71
    Activations Density 0.011%

    No Known Activations