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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. 5-RES-JB
    6. 14094
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    INDEX
    Explanations

    the word "norm" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    references to societal or cultural standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ashes
    -0.70
    UGH
    -0.64
    hani
    -0.60
     Khe
    -0.60
     Kush
    -0.60
    Package
    -0.60
    pta
    -0.60
     Bowl
    -0.59
     Conspiracy
    -0.58
     Chargers
    -0.57
    POSITIVE LOGITS
    ality
    1.13
    ativity
    1.12
    als
    1.06
    atively
    0.94
    ally
    0.91
    heastern
    0.84
    norm
    0.82
    uses
    0.79
    alties
    0.79
    heast
    0.79
    Activations Density 0.010%

    No Known Activations