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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. 8-RES-JB
    6. 23109
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    INDEX
    Explanations

    instances where something is utilized or employed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "use" and its variations in the context of technology or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¯¯¯¯
    -0.72
    antle
    -0.69
    hood
    -0.68
    worthy
    -0.67
    occup
    -0.67
     justifies
    -0.66
    watching
    -0.66
    urther
    -0.65
    redo
    -0.65
    deal
    -0.65
    POSITIVE LOGITS
     borrowed
    0.94
     techniques
    0.87
    fully
    0.81
     sophisticated
    0.79
     algorithms
    0.79
     methods
    0.78
     proprietary
    0.78
     elements
    0.77
     GPS
    0.73
     recycled
    0.73
    Activations Density 0.145%

    No Known Activations