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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. 3289
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    Explanations

    proper names, possibly focusing on individual people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and key figures in the context of personal narratives or stories

    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
     Hamb
    -0.79
    Java
    -0.76
    Ó
    -0.75
    åĤ
    -0.75
     hamb
    -0.75
    hya
    -0.74
     caffe
    -0.74
    jiang
    -0.74
    ãĥĺ
    -0.73
     MLA
    -0.73
    POSITIVE LOGITS
     Ross
    2.35
    Ross
    2.11
     Ros
    1.85
    Ros
    1.85
     Roz
    1.47
     Rossi
    1.45
    ross
    1.26
     ROS
    1.18
     Rosenthal
    1.16
     Cos
    1.12
    Activations Density 0.271%

    No Known Activations