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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. 0-RES-JB
    11. 9700
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    Explanations

    references to parks

    oai_token-act-pair · gpt-3.5-turbo

    references to parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htar
    -0.68
    irms
    -0.68
     Ratio
    -0.65
    ÙĴ
    -0.65
    arella
    -0.64
    ellig
    -0.64
     MSM
    -0.63
    Thumbnail
    -0.63
     Typh
    -0.62
     Telegram
    -0.62
    POSITIVE LOGITS
     park
    3.95
     parks
    2.98
    park
    2.77
     Park
    2.37
    Park
    2.29
     PARK
    1.96
     Parks
    1.84
     parking
    1.44
     playground
    1.36
     ballpark
    1.33
    Activations Density 0.017%

    No Known Activations