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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. 8-RES-JB
    11. 14388
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    Explanations

    words related to actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or processes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    dating
    -0.54
    emale
    -0.51
    renheit
    -0.50
    ¢
    -0.47
    itaire
    -0.47
     Moroc
    -0.46
     Vaugh
    -0.46
    iscovery
    -0.45
    nat
    -0.45
    Category
    -0.45
    POSITIVE LOGITS
     largeDownload
    0.54
     Xperia
    0.51
    Ĥª
    0.50
    zbollah
    0.49
     Allaah
    0.48
     Rey
    0.47
     rejo
    0.47
    SPONSORED
    0.46
     Houth
    0.46
    )?
    0.45
    Activations Density 2.694%

    No Known Activations