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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. 7191
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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
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    Negative Logits
     constitu
    -0.64
     QC
    -0.58
    uyomi
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     fung
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     FISA
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     scrimmage
    -0.54
     veins
    -0.51
     suppl
    -0.50
     euphem
    -0.49
     Pic
    -0.49
    POSITIVE LOGITS
    ikuman
    0.70
    quarters
    0.66
    oses
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    acia
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    acent
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    osen
    0.62
    athy
    0.61
    olds
    0.61
    ensity
    0.61
    assing
    0.61
    Activations Density 0.572%

    No Known Activations