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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
    11. 7244
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    Explanations

    words related to prominent figures

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns, particularly those related to individuals and their titles

    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
     Front
    -0.73
     stroke
    -0.72
    Õ
    -0.72
    Trend
    -0.68
    ¹
    -0.66
    gencies
    -0.66
    Īè
    -0.63
     Forgotten
    -0.62
    ILA
    -0.62
     subt
    -0.62
    POSITIVE LOGITS
    eson
    1.46
    etheus
    1.08
    imore
    1.00
    gomery
    0.97
    terday
    0.93
    iola
    0.87
    isson
    0.82
    xon
    0.82
    artifacts
    0.81
    emon
    0.80
    Activations Density 0.006%

    No Known Activations