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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
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    Explanations

    references to the city of New York

    oai_token-act-pair · gpt-3.5-turbo

    mentions of New York

    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
    ches
    -0.76
    ched
    -0.74
    cher
    -0.73
    backer
    -0.73
    wcsstore
    -0.73
    olate
    -0.70
    alogue
    -0.70
    TPP
    -0.69
    tnc
    -0.69
    vol
    -0.69
    POSITIVE LOGITS
     City
    1.46
     Mellon
    1.07
     Times
    1.06
     State
    1.06
     Cosmos
    1.05
     Harbor
    1.04
     Jets
    1.01
     Mets
    0.98
     Knicks
    0.96
     Yankees
    0.94
    Activations Density 0.067%

    No Known Activations