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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. 16107
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    Explanations

    phrases related to politics and government

    oai_token-act-pair · gpt-3.5-turbo

    key statements or notable quotes from social media

    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
    iership
    -0.56
    azard
    -0.53
     Flavoring
    -0.51
     [&
    -0.50
    iru
    -0.49
     dstg
    -0.49
    Advertisements
    -0.49
    escape
    -0.47
    psey
    -0.47
     mathemat
    -0.47
    POSITIVE LOGITS
     however
    1.02
     meanwhile
    0.85
     therefore
    0.83
     moreover
    0.73
     though
    0.65
     furthermore
    0.64
     also
    0.64
    arger
    0.62
     additionally
    0.60
     thus
    0.59
    Activations Density 2.391%

    No Known Activations