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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. 2-RES-JB
    11. 5884
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    Explanations

    locations, specifically cities and neighborhoods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific cities

    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
    ascript
    -0.84
    vana
    -0.76
    DonaldTrump
    -0.72
    ktop
    -0.71
    acca
    -0.71
    vich
    -0.69
    ramid
    -0.69
    OHN
    -0.68
    encing
    -0.66
    gars
    -0.66
    POSITIVE LOGITS
     suburbs
    0.80
     mayoral
    0.76
     skyline
    0.75
     Municip
    0.75
     metropolitan
    0.73
     municipality
    0.73
     Lumpur
    0.73
     metro
    0.72
     Harbour
    0.72
     harbour
    0.71
    Activations Density 0.010%

    No Known Activations