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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    proper nouns starting with "Que"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Que" and its related forms, particularly in the context of LGBTQ+ discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥŁ
    -0.88
    ERSON
    -0.73
    é¾įå
    -0.73
    ERAL
    -0.72
    æĺ
    -0.72
    姫
    -0.71
    sburg
    -0.69
    ש
    -0.68
    âķIJ
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.67
    POSITIVE LOGITS
     Que
    1.14
    zon
    1.02
    Que
    0.93
    que
    0.89
    erness
    0.85
    ues
    0.83
    gment
    0.79
    es
    0.78
    ue
    0.77
    lez
    0.76
    Activations Density 0.005%

    No Known Activations