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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. 1-RES-JB
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    Explanations

    the name "John"

    oai_token-act-pair · gpt-3.5-turbo

    the name "John" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     maturity
    -0.66
    PLA
    -0.66
    EStream
    -0.64
     sensitive
    -0.62
    mble
    -0.62
     ticking
    -0.61
     Uzbek
    -0.61
    ãĤ¯
    -0.61
     backbone
    -0.60
     uncommon
    -0.59
    POSITIVE LOGITS
    athan
    1.14
    ston
    1.09
     Doe
    1.02
     Hancock
    1.02
     Constantine
    0.93
    athon
    0.90
    stown
    0.90
    nie
    0.89
     Cena
    0.89
    soever
    0.86
    Activations Density 0.009%

    No Known Activations