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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. 12041
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    categories and formats related to media and digital platforms

    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
     brace
    -0.65
    :"
    -0.65
     Eater
    -0.58
    imony
    -0.58
    rums
    -0.57
     Jerome
    -0.56
     errone
    -0.56
    ï¸ı
    -0.54
    Ö¼
    -0.54
    bert
    -0.54
    POSITIVE LOGITS
    etc
    0.87
     etc
    0.81
     CLSID
    0.80
     guiActiveUnfocused
    0.71
     Nanto
    0.68
    Temperature
    0.67
     istg
    0.66
    catentry
    0.65
    quickShipAvailable
    0.64
     TBA
    0.63
    Activations Density 0.242%

    No Known Activations