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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. 23578
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    Explanations

    references to the onset or implementation of something

    oai_token-act-pair · gpt-3.5-turbo

    references to regulations or laws taking effect

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    pi
    -0.76
     Corpus
    -0.70
     passionate
    -0.67
    rium
    -0.67
    asca
    -0.63
     Xen
    -0.61
    ollo
    -0.61
     Leth
    -0.61
    Rare
    -0.60
    ĪĴ
    -0.60
    POSITIVE LOGITS
    uate
    1.00
    uated
    0.89
    uation
    0.88
    uating
    0.85
    angering
    0.84
    ional
    0.80
    uary
    0.79
    uates
    0.77
     date
    0.76
     1934
    0.75
    Activations Density 0.077%

    No Known Activations