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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. 6-RES-JB
    11. 7907
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    Explanations

    words related to extreme challenges or difficult situations

    oai_token-act-pair · gpt-3.5-turbo

    instances and discussions of various crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.95
    alties
    -0.88
    Īè
    -0.87
    ittal
    -0.82
    rosse
    -0.81
    ositories
    -0.80
    ateur
    -0.80
    oji
    -0.78
    Ģ
    -0.77
    collar
    -0.77
    POSITIVE LOGITS
     plag
    0.92
     crisis
    0.90
     engulf
    0.83
     aver
    0.83
     crises
    0.80
     Crisis
    0.80
     epidemic
    0.78
     escalated
    0.78
     erupted
    0.75
     Wasserman
    0.75
    Activations Density 0.022%

    No Known Activations