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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. 13066
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    Explanations

    references to physical attributes of the body, particularly knees, ankles, arms, and height

    oai_token-act-pair · gpt-3.5-turbo

    repeating characters or symbols in the text

    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
    ãĤ¶
    -0.92
    Tex
    -0.86
    igo
    -0.82
    uscript
    -0.81
    Ãĥ
    -0.80
    imore
    -0.79
    Stream
    -0.79
    Sync
    -0.78
    Scan
    -0.78
    Stage
    -0.77
    POSITIVE LOGITS
     preferring
    0.75
     selves
    0.74
    assetsadobe
    0.73
     sake
    0.72
     endif
    0.71
     namely
    0.69
     secondly
    0.67
     dare
    0.67
     hoops
    0.65
     liar
    0.64
    Activations Density 0.224%

    No Known Activations