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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. 7-RES-JB
    6. 20472
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    Explanations

    verbs related to creating and interacting within digital platforms

    oai_token-act-pair · gpt-3.5-turbo

    instances of designing, building, or constructing activities and initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.82
    ãĥ¯
    -0.64
    hra
    -0.57
    ansion
    -0.57
     presided
    -0.57
    ********************************
    -0.54
     Ramos
    -0.54
     UDP
    -0.54
     visc
    -0.53
     Anat
    -0.53
    POSITIVE LOGITS
     themselves
    0.94
     THEIR
    0.90
     their
    0.89
    their
    0.87
     anonymously
    0.84
     responsibly
    0.78
     freely
    0.78
    acebook
    0.75
     lifestyles
    0.71
    selves
    0.67
    Activations Density 0.752%

    No Known Activations