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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. 21516
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    Explanations

    names and titles of significant individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper names and significant titles in the text

    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
    anwhile
    -0.70
    ģĸ
    -0.68
    etheless
    -0.64
    ĸļ
    -0.62
    iculty
    -0.61
    mble
    -0.58
     guid
    -0.57
    Ħ¢
    -0.56
    £ı
    -0.55
     *.
    -0.55
    POSITIVE LOGITS
    ona
    0.70
     Street
    0.69
    Fest
    0.65
    ont
    0.63
    Fit
    0.63
    cup
    0.63
    Star
    0.62
    Wiki
    0.61
    Ps
    0.60
    Coin
    0.60
    Activations Density 0.558%

    No Known Activations