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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 23480
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    Explanations

    car-related terms and activities

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to performance evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.74
    NetMessage
    -0.70
    onym
    -0.69
     Authorization
    -0.69
    channelAvailability
    -0.68
    soType
    -0.66
     Lent
    -0.66
    optional
    -0.65
     Prohibition
    -0.64
    OPLE
    -0.64
    POSITIVE LOGITS
     outper
    1.51
     excel
    1.27
     perform
    1.25
     performs
    1.18
     fared
    1.17
     exce
    1.17
     fare
    1.09
     performed
    1.07
     performance
    1.05
     deliver
    1.04
    Activations Density 0.477%

    No Known Activations