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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. 0-RES-JB
    11. 7765
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    INDEX
    Explanations

    titles or mentions of books

    oai_token-act-pair · gpt-3.5-turbo

    mentions of books and related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     induced
    -0.74
     sting
    -0.70
     steroid
    -0.66
     drain
    -0.65
     aggressive
    -0.65
     streak
    -0.64
     PID
    -0.63
     clamp
    -0.62
     circuit
    -0.62
     team
    -0.62
    POSITIVE LOGITS
     Books
    3.79
    Books
    2.22
     Publications
    1.70
     Book
    1.63
     BOOK
    1.62
     Publishers
    1.59
     Publishing
    1.58
    books
    1.51
     books
    1.48
     Comics
    1.48
    Activations Density 0.023%

    No Known Activations