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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. 3997
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    Explanations

    positive and exciting descriptions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive and exciting developments or news

    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
    ESE
    -0.84
    alias
    -0.83
    doi
    -0.83
    alysed
    -0.81
    imester
    -0.80
    acia
    -0.79
    artment
    -0.79
    uth
    -0.77
    ilit
    -0.77
    aper
    -0.76
    POSITIVE LOGITS
     surprises
    1.64
     laughs
    1.38
     juicy
    1.31
     intrigue
    1.26
     goodies
    1.25
     twists
    1.23
     spoilers
    1.15
     excitement
    1.15
     hilarious
    1.15
     hilar
    1.14
    Activations Density 0.266%

    No Known Activations