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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. 7235
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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
    href
    -0.69
    uds
    -0.66
     Gamma
    -0.66
    ginx
    -0.65
    Torrent
    -0.65
    orum
    -0.64
    ocene
    -0.64
     iCloud
    -0.62
    ãĥł
    -0.62
    ogun
    -0.62
    POSITIVE LOGITS
     CITY
    1.03
    MAN
    1.01
    MEN
    1.01
     POL
    0.96
    INESS
    0.95
     MEN
    0.94
     EDITION
    0.92
     IMAGES
    0.91
     CHR
    0.89
    ING
    0.89
    Activations Density 0.042%

    No Known Activations