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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
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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
     GOODMAN
    -0.86
     gamers
    -0.69
     trance
    -0.69
     whistle
    -0.68
     journalism
    -0.67
     elusive
    -0.67
     glim
    -0.67
     moss
    -0.66
     salty
    -0.64
     gunfire
    -0.64
    POSITIVE LOGITS
    mk
    0.97
    Get
    0.96
    create
    0.91
    get
    0.91
    prototype
    0.90
    apply
    0.88
    Default
    0.88
    execute
    0.88
    enabled
    0.87
    Invalid
    0.86
    Activations Density 0.064%

    No Known Activations