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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. 18844
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    theless
    -0.76
    finder
    -0.75
    assetsadobe
    -0.72
     interchange
    -0.71
    shapeshifter
    -0.69
    bnb
    -0.66
    DragonMagazine
    -0.66
     sans
    -0.63
     scout
    -0.63
     Dickinson
    -0.63
    POSITIVE LOGITS
    ared
    0.98
    ares
    0.96
    iery
    0.96
    aring
    0.94
    cknowled
    0.94
    ows
    0.91
    omed
    0.91
    emic
    0.90
    ims
    0.90
    ights
    0.89
    Activations Density 0.344%

    No Known Activations