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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. 22849
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    Explanations

    names or partial names related to individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    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
    BILITIES
    -0.82
    entimes
    -0.71
    FML
    -0.71
    leneck
    -0.68
    rency
    -0.66
    farious
    -0.65
     decay
    -0.64
    cled
    -0.64
    bably
    -0.62
    mentation
    -0.62
    POSITIVE LOGITS
    ovych
    1.11
    oi
    0.78
     Hir
    0.74
    aya
    0.72
     Ara
    0.72
    ji
    0.71
     Hatt
    0.70
    wo
    0.69
    chev
    0.69
     Yug
    0.68
    Activations Density 0.255%

    No Known Activations