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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. 7-RES-JB
    11. 5120
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    Explanations

    the name "Jefferson" followed by a specific number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jefferson" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.80
    fare
    -0.73
     à¨
    -0.69
    omial
    -0.68
    lator
    -0.67
    atics
    -0.67
    product
    -0.67
    )=(
    -0.67
    uling
    -0.66
    packages
    -0.66
    POSITIVE LOGITS
     Parish
    1.01
     Jefferson
    0.97
    agne
    0.92
    sburg
    0.90
     Davis
    0.89
    shire
    0.87
     Mills
    0.78
     County
    0.78
    ensional
    0.75
    itudinal
    0.74
    Activations Density 0.022%

    No Known Activations