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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. 0-RES-JB
    6. 3267
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    INDEX
    Explanations

    words related to psychological qualities or states like aggressiveness, obsessiveness, or inclusiveness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to different forms of effectiveness or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     canon
    -0.71
     mill
    -0.59
     accident
    -0.59
     wells
    -0.59
     baker
    -0.59
     MILL
    -0.58
     Remix
    -0.58
     bi
    -0.57
     corn
    -0.56
     canonical
    -0.55
    POSITIVE LOGITS
    iveness
    4.76
    ively
    2.48
    ivity
    2.46
    ivism
    1.95
    ives
    1.91
    ivities
    1.83
    ive
    1.58
    eness
    1.51
    ibility
    1.46
    uality
    1.44
    Activations Density 0.008%

    No Known Activations