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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. 1-RES-JB
    11. 7324
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    Explanations

    references to educational curriculum

    oai_token-act-pair · gpt-3.5-turbo

    references to academic curricula

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Samar
    -0.70
    stat
    -0.66
     Saints
    -0.64
    wolves
    -0.64
     Giants
    -0.62
     Ult
    -0.62
     Nations
    -0.61
    ulf
    -0.61
     magn
    -0.61
    ×Ļ×
    -0.60
    POSITIVE LOGITS
     curriculum
    1.32
     vit
    1.16
     curric
    1.00
    ussion
    0.92
    ĸļ
    0.85
     refres
    0.83
    matically
    0.80
     skelet
    0.79
    inery
    0.79
    chool
    0.79
    Activations Density 0.010%

    No Known Activations