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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. 5-RES-JB
    6. 10948
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    Explanations

    phrases related to apologies

    oai_token-act-pair · gpt-3.5-turbo

    instances of apologies and related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edin
    -0.88
    ulhu
    -0.85
    arkin
    -0.80
    retty
    -0.78
    inson
    -0.78
    kefeller
    -0.78
    enson
    -0.77
    eele
    -0.75
    olson
    -0.74
    KEY
    -0.74
    POSITIVE LOGITS
     behalf
    0.94
     missing
    0.80
     unres
    0.78
     sins
    0.70
     cance
    0.69
     wrongdoing
    0.69
     departed
    0.69
     coward
    0.67
     Cambodia
    0.65
     Mara
    0.65
    Activations Density 0.165%

    No Known Activations