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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to sports teams, specifically the Kansas City Chiefs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams, particularly the Chiefs and Royals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GL
    -0.67
     gelatin
    -0.65
    ement
    -0.64
    gel
    -0.63
     poly
    -0.62
     mon
    -0.62
    flu
    -0.62
     pal
    -0.61
    GL
    -0.60
     floating
    -0.60
    POSITIVE LOGITS
     Chiefs
    4.42
     chiefs
    1.77
    Chief
    1.70
     Royals
    1.70
     Chargers
    1.55
     Titans
    1.46
     Broncos
    1.44
     Bengals
    1.42
     Texans
    1.41
     Raiders
    1.38
    Activations Density 0.018%

    No Known Activations