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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. 10-RES-JB
    6. 23041
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    Explanations

    complex words that are related to completion or enhancement

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     laughter
    -0.71
     Baghd
    -0.64
     spine
    -0.63
     Sabb
    -0.59
     ISO
    -0.59
     Franch
    -0.58
    ocker
    -0.58
    bucks
    -0.58
    rooms
    -0.57
    isms
    -0.57
    POSITIVE LOGITS
    mented
    1.75
    teness
    1.44
    ased
    1.32
    ments
    1.30
    mental
    1.13
    mentation
    1.13
    ment
    1.12
    asing
    1.09
    MENT
    1.06
    ĵ
    1.01
    Activations Density 0.050%

    No Known Activations