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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. 8996
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    Explanations

    terms related to legal or official titles and acts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to official organizations, actions, or legislation

    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
    theless
    -1.03
     altogether
    -0.71
     elves
    -0.71
     turkey
    -0.69
     err
    -0.68
     oneself
    -0.68
     sake
    -0.68
     overhead
    -0.67
     dipping
    -0.67
     goblins
    -0.67
    POSITIVE LOGITS
    iciency
    0.97
    istries
    0.96
    iliation
    0.93
    enses
    0.92
     Registry
    0.92
    itions
    0.91
    ilit
    0.91
    uctions
    0.91
    entials
    0.91
    ocation
    0.91
    Activations Density 0.238%

    No Known Activations