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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. 6-RES-JB
    6. 23217
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    Explanations

    phrases containing various quotes or statements from different individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating something being said or stated by someone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     metic
    -0.84
     unborn
    -0.74
     cloning
    -0.72
     clones
    -0.72
     favor
    -0.72
     interns
    -0.71
     clitor
    -0.70
     grips
    -0.68
     spir
    -0.68
     favour
    -0.68
    POSITIVE LOGITS
    ï¸ı
    1.11
    Ther
    0.89
    ----------------------------------------------------------------
    0.89
    ecause
    0.89
    conom
    0.88
    reci
    0.87
    Because
    0.86
    Certainly
    0.86
    TPP
    0.86
    Likewise
    0.85
    Activations Density 0.120%

    No Known Activations