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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
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    Negative Logits
    enegger
    -0.63
    icles
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    etter
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    nings
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    imity
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    hips
    -0.57
    rooms
    -0.56
    liest
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    Äĩ
    -0.56
    worldly
    -0.56
    POSITIVE LOGITS
     Proxy
    0.61
     metic
    0.58
     Kik
    0.52
     unpop
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     Ae
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     Iter
    0.51
    å¤
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     Ezek
    0.50
     advoc
    0.49
    åį
    0.49
    Activations Density 0.520%

    No Known Activations