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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. 9359
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    INDEX
    Explanations

    ratios and numerical correlations

    oai_token-act-pair · gpt-3.5-turbo

    numeric values indicating statistics or measurements

    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
    gart
    -0.79
    ars
    -0.71
    oir
    -0.69
    aries
    -0.68
    atre
    -0.66
    aux
    -0.65
     cx
    -0.64
    atis
    -0.63
    Reading
    -0.62
    BALL
    -0.62
    POSITIVE LOGITS
     ratio
    0.88
     ratios
    0.77
    iversal
    0.70
     converter
    0.68
    irtual
    0.67
     conversions
    0.66
     metab
    0.65
     Ratio
    0.65
    xual
    0.64
     odds
    0.64
    Activations Density 0.076%

    No Known Activations