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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. 4-RES-JB
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    Explanations

    references to the city of New York

    oai_token-act-pair · gpt-3.5-turbo

    references to New York City

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

    No Comments

    Negative Logits
    TPP
    -0.86
    VPN
    -0.80
    wcsstore
    -0.78
    EMP
    -0.74
    milo
    -0.73
    selection
    -0.72
     stewards
    -0.71
    âķIJâķIJ
    -0.70
    unct
    -0.70
    kick
    -0.68
    POSITIVE LOGITS
     City
    1.20
     Mellon
    1.04
     Harbor
    0.94
     State
    0.81
     Knicks
    0.80
     Giants
    0.79
    town
    0.79
     Times
    0.79
     Mets
    0.78
    amus
    0.78
    Activations Density 0.026%

    No Known Activations