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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. 6-RES-JB
    11. 20444
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    Explanations

    terms related to finance and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to statistics or data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    terday
    -0.74
    andowski
    -0.68
    album
    -0.66
    calling
    -0.62
    sole
    -0.62
    ynthesis
    -0.61
    ags
    -0.60
    /**
    -0.60
    static
    -0.59
    """
    -0.58
    POSITIVE LOGITS
     yourselves
    1.35
     yourself
    1.30
     wisely
    1.09
     Yourself
    1.04
     preferably
    0.92
     responsibly
    0.91
    cknow
    0.88
     your
    0.86
     carefully
    0.76
    !'"
    0.73
    Activations Density 0.895%

    No Known Activations