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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the baseball team "Toronto Blue Jays"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Blue Jays baseball team

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

    No Comments

    Negative Logits
    ãĤ·ãĥ£
    -0.74
    lier
    -0.70
    quickShipAvailable
    -0.70
    iture
    -0.68
    itures
    -0.66
    natureconservancy
    -0.66
     Beir
    -0.65
    imental
    -0.65
    lying
    -0.64
     Cosponsors
    -0.64
    POSITIVE LOGITS
     Jays
    0.92
    ockey
    0.77
    onet
    0.72
     dominate
    0.70
     outfielder
    0.70
     mosqu
    0.69
    hap
    0.69
    '
    0.69
    aez
    0.68
     sweep
    0.68
    Activations Density 0.007%

    No Known Activations