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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. 1-RES-JB
    6. 11026
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    INDEX
    Explanations

    instances where daring or challenging actions are described

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dare" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urgy
    -0.79
    ensive
    -0.75
    effic
    -0.75
    ĻĤ
    -0.70
    division
    -0.69
    ounced
    -0.64
     Methods
    -0.62
     anesthesia
    -0.62
    edged
    -0.62
    Tool
    -0.61
    POSITIVE LOGITS
     Dare
    1.35
     dare
    1.20
     daring
    0.77
     dared
    0.76
     boldly
    0.74
     provoke
    0.72
     censor
    0.70
    cot
    0.68
    geon
    0.67
     defy
    0.67
    Activations Density 0.008%

    No Known Activations