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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. 23171
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    Explanations

    action words related to creating or making one's own something

    oai_token-act-pair · gpt-3.5-turbo

    references to creating or making something personal or customized

    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
    anwhile
    -0.87
     Mub
    -0.80
    hovah
    -0.72
    EGIN
    -0.69
    ynchronous
    -0.64
    trump
    -0.64
    ortunately
    -0.64
    isSpecialOrderable
    -0.64
    hesda
    -0.63
    lehem
    -0.63
    POSITIVE LOGITS
     custom
    0.87
     version
    0.85
     customized
    0.79
     personal
    0.77
     homegrown
    0.74
     creations
    0.74
     unique
    0.73
     selves
    0.72
     personalized
    0.71
     copy
    0.71
    Activations Density 0.035%

    No Known Activations