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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. 11-RES-JB
    11. 13913
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    INDEX
    Explanations

    numeric data in a specific format, possibly related to sports scores or financial figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics related to various events or data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.98
     tremend
    -0.94
     practition
    -0.83
     encount
    -0.77
     carbohyd
    -0.77
    eatures
    -0.76
     councill
    -0.76
    StreamerBot
    -0.76
    successfully
    -0.75
    ÃĥÃĤÃĥÃĤ
    -0.75
    POSITIVE LOGITS
     TOTAL
    1.53
    <|endoftext|>
    1.13
     Tot
    1.13
     Total
    1.12
     Conclusion
    1.05
    ↵
    1.04
     =================================================================
    1.04
     Other
    1.02
     Miscellaneous
    1.01
     Various
    1.01
    Activations Density 0.136%

    No Known Activations