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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. 2358
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    Explanations

    phrases related to public speaking or formal presentations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks indicating the end of statements or quotes

    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
     unfavorable
    -1.04
     favorable
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     center
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     favorably
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     nont
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     favored
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     favoring
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     centers
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     authorized
    -0.89
     flavored
    -0.89
    POSITIVE LOGITS
     Whilst
    2.09
     Firstly
    1.55
     £
    1.51
     Ukip
    1.46
    £
    1.42
     UKIP
    1.38
     ITV
    1.35
     Surely
    1.34
    Britain
    1.34
    Labour
    1.32
    Activations Density 0.367%

    No Known Activations