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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. 2321
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    INDEX
    Explanations

    phrases related to telecommunications and regulations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly semicolons

    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
    din
    -0.87
    ront
    -0.82
    senal
    -0.81
    wald
    -0.74
    rio
    -0.74
    rons
    -0.73
    orts
    -0.73
    urrection
    -0.71
    ric
    -0.71
    formation
    -0.70
    POSITIVE LOGITS
     thence
    1.03
     alternatively
    0.98
     furthermore
    0.96
     consequently
    0.89
     moreover
    0.88
    -)
    0.85
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.85
     hence
    0.77
     };
    0.76
     Flavoring
    0.75
    Activations Density 0.049%

    No Known Activations