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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14474
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANA
    -0.63
    itness
    -0.59
    irts
    -0.57
    ishable
    -0.57
    sb
    -0.56
    aternal
    -0.56
    ANS
    -0.55
     bott
    -0.55
    anus
    -0.54
    nit
    -0.54
    POSITIVE LOGITS
     of
    1.24
    of
    1.23
     OF
    1.04
    Of
    0.96
     Of
    0.94
     thereof
    0.92
    )=(
    0.83
    OF
    0.81
    oft
    0.77
    eto
    0.68
    Activations Density 0.255%

    No Known Activations