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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. 20600
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    INDEX
    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "The" as a sentence starter

    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
     etc
    -0.68
    Conclusion
    -0.67
    fficiency
    -0.65
    miss
    -0.65
    soType
    -0.63
    CONCLUS
    -0.61
    .–
    -0.59
     Lastly
    -0.59
    γ
    -0.58
    20439
    -0.58
    POSITIVE LOGITS
     pioneering
    0.70
     futuristic
    0.68
     groundbreaking
    0.67
    eaturing
    0.66
     Cards
    0.65
     sleek
    0.62
     founder
    0.62
    odore
    0.62
     Entertainment
    0.62
     creators
    0.62
    Activations Density 0.625%

    No Known Activations