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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. 18720
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    INDEX
    Explanations

    exclamations and expressions of enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly exclamation points and periods, indicating expressions of excitement or conclusion

    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
    ensibly
    -0.72
     veter
    -0.65
     trolls
    -0.64
     aggressive
    -0.64
     overt
    -0.63
     escalated
    -0.62
     wre
    -0.62
    ulously
    -0.62
     constit
    -0.61
     persecut
    -0.61
    POSITIVE LOGITS
     =================================================================
    1.37
     ********************************
    1.35
     Conclusion
    1.29
     ----------------------------------------------------------------
    1.25
    ↵Âł
    1.24
     =================================
    1.24
    <|endoftext|>
    1.22
     Lastly
    1.21
     --------------------------------
    1.17
     =================
    1.16
    Activations Density 0.469%

    No Known Activations