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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. 21536
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    Explanations

    phrases related to statements or opinions within parentheses

    oai_token-act-pair · gpt-3.5-turbo

    the presence and frequency of parentheses in the text

    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
     wre
    -0.77
     infring
    -0.76
     lull
    -0.75
     flee
    -0.74
     inund
    -0.73
     prey
    -0.71
     tack
    -0.71
     alley
    -0.70
     evapor
    -0.70
     smugglers
    -0.69
    POSITIVE LOGITS
    pictured
    1.43
    excluding
    1.35
    ?)
    1.32
    sic
    1.30
    including
    1.30
    formerly
    1.29
    via
    1.28
    !)
    1.23
    aka
    1.23
    again
    1.22
    Activations Density 0.155%

    No Known Activations