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    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. 6443
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    oai_token-act-pair · gpt-3.5-turbo
    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
     Rasmussen
    -0.90
    udence
    -0.80
     undercover
    -0.80
    jud
    -0.77
    conduct
    -0.75
     Reeves
    -0.73
    76561
    -0.73
    roit
    -0.72
    lethal
    -0.72
    stre
    -0.71
    POSITIVE LOGITS
     Linux
    1.47
     macOS
    1.34
     Unix
    1.32
     Windows
    1.31
     interoper
    1.30
    Linux
    1.30
     desktop
    1.29
     GNU
    1.27
     linux
    1.27
     Desktop
    1.25
    Activations Density 0.600%

    No Known Activations