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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. 8-RES-JB
    11. 24045
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    INDEX
    Explanations

    random and unrelated text fragments

    oai_token-act-pair · gpt-3.5-turbo

    references to various actions or events, especially in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     brid
    -0.81
     serpent
    -0.77
     dem
    -0.76
     reneg
    -0.74
     differe
    -0.74
     antit
    -0.74
     wills
    -0.73
     son
    -0.73
     scrap
    -0.72
     estranged
    -0.72
    POSITIVE LOGITS
    Conclusion
    1.51
    CONCLUS
    1.29
    Solution
    1.28
    Finally
    1.27
    Lastly
    1.26
    Again
    1.25
    Bonus
    1.24
    VII
    1.23
    Interest
    1.23
    Advertisements
    1.22
    Activations Density 0.234%

    No Known Activations