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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    terms related to a specific metropolitan area or institution named "Metropolitan."

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Metropolitan" and related contexts

    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
    enes
    -0.85
    fty
    -0.77
    comes
    -0.70
    pport
    -0.68
    ãĥķ
    -0.67
    XXX
    -0.66
    kick
    -0.65
    nir
    -0.65
    OPLE
    -0.64
    cks
    -0.64
    POSITIVE LOGITS
    ropolitan
    1.20
     Metropolitan
    1.16
     oun
    1.01
     Borough
    0.81
     Mellon
    0.80
     Statistical
    0.78
     Transportation
    0.73
     Museum
    0.72
     Improvement
    0.72
     EntityItem
    0.72
    Activations Density 0.003%

    No Known Activations