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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. 9-RES-JB
    11. 22757
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    Explanations

    locations, specifically capital cities

    oai_token-act-pair · gpt-3.5-turbo

    references to various cities or capitals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    potion
    -0.81
     Reincarn
    -0.75
    AUT
    -0.72
    shell
    -0.66
     Canaver
    -0.65
    nir
    -0.64
    chrom
    -0.64
    vent
    -0.63
    Cert
    -0.62
    wcsstore
    -0.62
    POSITIVE LOGITS
     city
    1.00
     metropolitan
    0.92
     Sana
    0.84
    ises
    0.83
     cities
    0.82
    ised
    0.80
     suburb
    0.80
    itals
    0.79
     metro
    0.78
     skyline
    0.76
    Activations Density 0.018%

    No Known Activations