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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. 3-RES-JB
    11. 3037
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    Explanations

    phrases related to different categories or classifications

    oai_token-act-pair · gpt-3.5-turbo

    references to various categories, particularly categories 8 and 9

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Zimmer
    -0.78
    bats
    -0.78
     RIS
    -0.73
     ultras
    -0.62
     Lans
    -0.62
     Lann
    -0.62
     Byrne
    -0.60
     Rez
    -0.59
    ippi
    -0.58
    gotten
    -0.57
    POSITIVE LOGITS
    naire
    0.96
    category
    0.96
     category
    0.88
     categories
    0.87
    Category
    0.84
    oola
    0.83
    wagon
    0.83
    anguage
    0.77
    ifier
    0.75
    omial
    0.73
    Activations Density 0.014%

    No Known Activations