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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. 9-RES-JB
    6. 9513
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    contractions and informal expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lim
    -0.61
    rial
    -0.60
    leigh
    -0.58
    mination
    -0.55
    hra
    -0.55
    ocide
    -0.55
    development
    -0.54
    ho
    -0.54
    new
    -0.54
    pend
    -0.53
    POSITIVE LOGITS
    dden
    0.51
     thereto
    0.50
     lodged
    0.48
    addons
    0.47
    Angelo
    0.47
     offensively
    0.46
     contribut
    0.46
     aide
    0.45
    uble
    0.45
     earnest
    0.45
    Activations Density 0.597%

    No Known Activations