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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. 23947
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    Explanations

    mentions of the location "Mexico City"

    oai_token-act-pair · gpt-3.5-turbo

    references to Mexico and its context in various situations

    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
    lihood
    -0.87
    bj
    -0.83
    MENTS
    -0.81
    mble
    -0.75
     VK
    -0.74
    naissance
    -0.70
    warm
    -0.70
    =-=-=-=-=-=-=-=-
    -0.69
    fman
    -0.68
    leys
    -0.67
    POSITIVE LOGITS
     City
    1.30
     pes
    1.17
    ican
    1.01
     cartels
    0.97
     Pes
    0.95
    uala
    0.95
    icans
    0.90
     Nieto
    0.88
    acan
    0.87
     CITY
    0.86
    Activations Density 0.059%

    No Known Activations