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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. 4-RES-JB
    11. 17314
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    Explanations

    specific mentions of metropolitan areas such as Seattle, Houston, and Los Angeles

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic areas

    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
    artz
    -0.81
    ificial
    -0.80
    FILE
    -0.77
    forestation
    -0.72
     PROGRAM
    -0.71
    estamp
    -0.71
    icial
    -0.70
    Files
    -0.70
    ongyang
    -0.67
    skill
    -0.67
    POSITIVE LOGITS
     suburbs
    0.87
     Borough
    0.84
     Parkway
    0.82
     area
    0.82
     northeast
    0.79
     median
    0.78
     southwest
    0.78
     northwest
    0.78
     Northeast
    0.76
     west
    0.75
    Activations Density 0.043%

    No Known Activations