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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. 10-RES-JB
    11. 4842
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    Explanations

    numbers representing percentage increases

    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
     Bowman
    -0.60
     Deer
    -0.58
     snipp
    -0.58
     apartheid
    -0.57
    zan
    -0.57
     nerves
    -0.55
     Safari
    -0.55
    rome
    -0.54
    ATA
    -0.54
    ese
    -0.54
    POSITIVE LOGITS
    xual
    1.00
    over
    0.95
     rate
    0.81
    itures
    0.81
    onential
    0.80
     averaging
    0.80
    iture
    0.75
    itial
    0.73
    iggurat
    0.73
    overs
    0.72
    Activations Density 0.093%

    No Known Activations