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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. 4-RES-JB
    11. 13414
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    Explanations

    pieces of text marked as exclusive or breaking news updates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exclusivity and special features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    gaard
    -0.69
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    hof
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    belt
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    Lv
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    mop
    -0.63
    adal
    -0.63
    soDeliveryDate
    -0.63
    nea
    -0.62
    POSITIVE LOGITS
    CLUS
    1.14
     VIDEOS
    1.07
     IMAGES
    0.98
     STORY
    0.91
    URES
    0.87
    aneously
    0.84
     EDITION
    0.81
     SPORTS
    0.79
    CLASSIFIED
    0.79
     TMZ
    0.77
    Activations Density 0.046%

    No Known Activations