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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. 24342
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    Explanations

    conclusions or the act of reaching conclusions based on context and statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to drawing conclusions or judgments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ophon
    -0.67
     talents
    -0.66
    cler
    -0.63
    inventory
    -0.62
    maid
    -0.62
    names
    -0.62
     nas
    -0.62
    amen
    -0.62
    bey
    -0.61
    lease
    -0.61
    POSITIVE LOGITS
     conclusion
    0.87
    20439
    0.82
     conclusions
    0.78
    éĸ
    0.73
    lessly
    0.72
    naire
    0.67
     Conclusion
    0.67
    uations
    0.67
    essim
    0.66
     regarding
    0.66
    Activations Density 0.018%

    No Known Activations