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

    references to the city of Philadelphia

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Philadelphia" and its associated sports teams

    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
    vana
    -0.81
    arist
    -0.74
    utm
    -0.72
    demand
    -0.72
    gars
    -0.71
    cases
    -0.71
    spring
    -0.70
     scrut
    -0.70
     stren
    -0.68
    eworld
    -0.67
    POSITIVE LOGITS
     Inqu
    1.02
     Phillies
    0.98
     Eagles
    0.90
    Philadelphia
    0.89
     Philadelphia
    0.88
     Flyers
    0.85
     Borough
    0.83
    adelphia
    0.81
     Orchestra
    0.80
     Philly
    0.80
    Activations Density 0.007%

    No Known Activations