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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. 3-RES-JB
    6. 8510
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    INDEX
    Explanations

    expressions or mentions related to moral principles or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of abstract principles or moral standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geon
    -0.77
    brain
    -0.74
    --------------------------------------------------------
    -0.72
    rontal
    -0.71
    Runner
    -0.69
    sie
    -0.68
    interrupted
    -0.68
    waves
    -0.67
    slow
    -0.67
    wards
    -0.66
    POSITIVE LOGITS
     Values
    0.92
     values
    0.90
    values
    0.75
     ideals
    0.74
    Values
    0.73
     embodied
    0.73
     proposition
    0.72
    zsche
    0.71
     value
    0.69
     propositions
    0.67
    Activations Density 0.013%

    No Known Activations