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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
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    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
    govtrack
    -0.72
    fml
    -0.64
    jp
    -0.62
    YP
    -0.61
    estamp
    -0.59
    taboola
    -0.59
    ibr
    -0.58
    AME
    -0.56
    istine
    -0.56
    dayName
    -0.55
    POSITIVE LOGITS
     numerous
    1.63
     several
    1.63
     dozens
    1.52
     three
    1.50
     four
    1.49
     seven
    1.47
     nine
    1.43
     eleven
    1.43
     five
    1.43
     six
    1.42
    Activations Density 0.843%

    No Known Activations