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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. 14965
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    Explanations

    denials or refutations of accusations or allegations

    oai_token-act-pair · gpt-3.5-turbo

    statements of denial or rejection

    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
    =-=-=-=-=-=-=-=-
    -0.89
    incinn
    -0.85
    ================================
    -0.77
    =-=-=-=-
    -0.76
    OPER
    -0.75
    Compar
    -0.75
    MAT
    -0.73
    ARCH
    -0.71
    Center
    -0.70
    Nev
    -0.69
    POSITIVE LOGITS
     denies
    1.00
     denying
    1.00
     deny
    0.94
     denied
    0.93
     denial
    0.93
     outright
    0.81
     excuses
    0.73
     dismissing
    0.70
     McMaster
    0.69
    zzle
    0.67
    Activations Density 0.016%

    No Known Activations