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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 5114
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    INDEX
    Explanations

    words related to discussing or emphasizing points within a context, such as "about" or "of."

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    the word "about" and its associations with contextual discussions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    teen
    -0.72
    umi
    -0.68
    kr
    -0.68
    Cause
    -0.68
    iken
    -0.67
    yah
    -0.66
    estyles
    -0.66
    MORE
    -0.66
    /*
    -0.64
    OTHER
    -0.63
    POSITIVE LOGITS
     owning
    1.02
     this
    0.99
     adopting
    0.94
     constructing
    0.94
     designing
    0.91
     introducing
    0.91
     investing
    0.88
     obtaining
    0.88
     creating
    0.87
     having
    0.86
    Activations Density 0.209%

    No Known Activations