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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. 10-RES-JB
    6. 23796
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    Explanations

    phrases related to covering a wide range of topics or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating variety or range in contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknowled
    -0.75
    appointed
    -0.64
    Winged
    -0.64
     acquies
    -0.63
    aeus
    -0.62
     largeDownload
    -0.62
     Syri
    -0.62
     embold
    -0.61
     ashamed
    -0.61
    ĪĴ
    -0.60
    POSITIVE LOGITS
     topics
    1.27
     situations
    1.21
     aspects
    1.16
     scenarios
    1.10
     tasks
    1.09
     genres
    1.08
     types
    1.08
     kinds
    1.07
     domains
    1.03
     categories
    1.02
    Activations Density 0.293%

    No Known Activations