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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. 11-RES-JB
    11. 21742
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    Explanations

    cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of cities and places in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acca
    -0.83
    vana
    -0.82
    yip
    -0.72
    merce
    -0.69
    wana
    -0.67
    riel
    -0.64
    culus
    -0.61
    grading
    -0.59
    VALUE
    -0.59
    orst
    -0.58
    POSITIVE LOGITS
     mayoral
    1.01
     suburb
    1.01
     skyline
    1.00
     Metropolitan
    0.96
     Mayor
    0.96
     suburbs
    0.91
     metro
    0.91
     Symphony
    0.88
     Municipal
    0.88
     metropolitan
    0.88
    Activations Density 0.137%

    No Known Activations