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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. 7-RES-JB
    11. 1442
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    Explanations

    medical conditions and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to health conditions, scientific concepts, and socio-economic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Niet
    -0.65
    ãĤ¤ãĥĪ
    -0.64
    é¾
    -0.63
     Vaugh
    -0.61
    NL
    -0.57
    Lear
    -0.56
    GRE
    -0.54
    ãĥĥ
    -0.54
    âĸ¬
    -0.53
     Wein
    -0.53
    POSITIVE LOGITS
    \":
    0.62
    jriwal
    0.57
    ®
    0.49
     largeDownload
    0.49
     ):
    0.49
    ocaust
    0.48
     Shutterstock
    0.48
     fiasco
    0.47
    ¶
    0.46
    DragonMagazine
    0.46
    Activations Density 0.620%

    No Known Activations