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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. 6-RES-JB
    6. 3979
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    Explanations

    texts related to apologies

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to apologies

    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
    ulhu
    -1.05
    kefeller
    -0.84
    Reason
    -0.79
    nels
    -0.76
    quickShipAvailable
    -0.75
    ails
    -0.74
    retty
    -0.73
    chnology
    -0.73
    neys
    -0.73
    Scroll
    -0.72
    POSITIVE LOGITS
     unres
    0.78
     sins
    0.76
     missing
    0.74
     offending
    0.73
     cance
    0.72
     behalf
    0.71
     Kira
    0.71
     ruining
    0.70
     inconven
    0.69
     hurting
    0.68
    Activations Density 0.108%

    No Known Activations